System and method of documenting clinical trials

Disclosed is a system for documenting clinical trials, the system when operated identifies at least one publication related to a clinical trial entry to obtain documented clinical trial. The system comprises: an information repository comprising plurality of publications; a clinical trials registry database comprising a plurality of clinical trial entries; and a server arrangement. The server arrangement is configured to: obtain the plurality of publications; analyze the plurality of publications, using a filtering module, to determine a filtered set of publications; obtain the plurality of clinical trial entries; analyze a context of each of the publications in the filtered set and each of the plurality of clinical trial entries using a mapping module to identify a relationship of each of the publication with at least one of the plurality of clinical trial entries; and associate the plurality of clinical trial entries with publications related thereto to obtain documented clinical trials ...

System and method for extracting tabular data from electronic document

METHOD AND SYSTEM FOR EMPOWERING CANCER PATIENT(S)

There is disclosed a system for providing information to a plurality of cancer patients, the system including a server arrangement communicably coupled to a database arrangement comprising a plurality of records and a user device, wherein the server arrangement is configured to create profile for a plurality of patients by receiving information from the user device, discover available treatment options for the created profile, list recruiting clinical trials for the created profile, list relevant oncologists for the created profile for at least one consultation and map the created profile against pre-existing profiles and connecting the determined profile and the pre-existing profiles for experience sharing purposes.

System and method to identify entity of data

Disclosed is system comprising data processing arrangement including processors configured to receive sentences from unlabeled training data set; tokenize, using tokenizer module, sentences to obtain tokens; generate character level features for character of tokens of sentences; generate token level feature for each token of the sentences, wherein token level feature of token in sentence is identified using token coordinates of token and token coordinates of tokens neighboring token in sentence; train artificial neural network adapted to identify entities in sentences to determine first trend set, wherein training is based on received sentences, character level features for each character of tokens of sentences and token level feature for tokens of sentences; train the artificial neural network on set of labelled data to determine second trend set; identify, using identifier module, entity in text content, wherein identifier module uses first trend set and second trend set determined by ...

SYSTEM AND METHOD FOR SCREENING PHENOTYPIC TARGETS ASSOCIATED WITH A DISEASE USING IN-SILICO TECHNIQUES

A system for screening phenotypic targets associated with a disease using in-silico techniques. The system communicably coupled to a phenotype ontological databank including a plurality of phenotypes and phenotypic targets associated with each of the plurality of phenotypes; wherein the system includes a processor communicably coupled to a memory. The processor configured to receive a first input of the disease, receive a second input relating to at least one phenotype associated with the disease, identify for each of the at least one phenotype a plurality of similar phenotypes relating to a particular phenotype of the at least one phenotype of the second input, determine a similarity score for each of the plurality of similar phenotypes in comparison with the particular phenotype of the at least one phenotype of the second input, extract, from the phenotype ontological databank, phenotypic targets associated with similar phenotypes having similarity score higher than a first predefined threshold, compute a cumulative score of the phenotypic targets based on a plurality of parameters, wherein the cumulative score of a given phenotypic target is indicative of relevance thereof with respect to the disease, screen out phenotypic targets with cumulative score lower than a second predefined threshold, compute relevant pathways for the phenotypic targets by performing Highly dysregulated pathway analysis (HDPA) for the screened phenotypic targets, compute mechanistic factors attributing to regulation of similar phenotypes and pathological information of the disease in association with the screened phenotypic targets.

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Secure document management using blockchain

Disclosed is a secure document management system, for example, for documents pertaining to drug discovery. A document and its metainformation are obtained, and value features are extracted from the document based on identification of concepts associated with the document. An importance score of the document is determined based on the value features and the metainformation. A summarized view of the document is constructed based on the value features, the metainformation, the concepts and the importance score. A unique identifier is generated for the document and associated with the summarized view and the concepts of the document. A search query is processed, and the summarized view of the document is retrieved and displayed based on the query. A request for accessing the document is validated, and document access is allowed when the request is validated successfully. The document management may, for example, be facilitated using a blockchain platform.

System and method for language-independent contextual embedding

Disclosed is a system for language-independent contextual embedding of entities in a document that includes sentences. The system has a database and a processing arrangement. The processing arrangement has a tokenizer module for tokenizing sentences to obtain tokens, an encoder module for determining character coordinate corresponding to the tokens, wherein the character coordinates corresponding to the tokens occur in a multi-dimensional hierarchical space. The system has a transmutation module for processing the character coordinates to generate contextual embeddings thereof in the multi-dimensional hierarchical space and a prediction module for memorizing sequential information pertaining to the contextual embeddings of the character coordinates.

SYSTEM AND METHOD FOR GAINING MECHANISTIC INSIGHTS INTO ACTION OF DRUG USING IN-SILICO TECHNIQUES

Disclosed is a system for gaining mechanistic insights into action of a drug using in-silico techniques. The system is communicably coupled to a phenotype ontological databank; wherein the system comprises a processor communicably coupled to a memory. The processor is configured to receive a first input of the drug, receive a second input relating to at least one phenotype associated with the drug, identify targets of the drug to obtain a drug target list, determine phenotypic targets of the drug, compare the drug target list with the phenotypic targets of the drug to identify a plurality of overlapping targets therebetween, generate a Drug-Target-Phenotype (DTP) network using the plurality of overlapping targets, compute relevant pathways by performing Signaling Pathway Impact Analysis (SPIA) for the plurality of overlapping targets, generate a Pathway-Target-Phenotype (PTP) network, and compute mechanistic insights into the action of the drug from the analysis of PTP network.

System and method for interoperability of blockchains

Disclosed herein is a system and method for interoperability of blockchains thereby allowing use of smart contracts across blockchains in real time and in a secured manner. A plurality of blockchains are connected to each other and allow use of smart contracts written on them by other connected blockchains without the need of rewriting and/or downloading the smart contract on other blockchain. The disclosed system and methods use a distributed file system storage for secured processing of information flowing from one blockchain to other connected blockchain. Further, each connected blockchain is associated with distinct private and public key in order to encrypt and decrypt the data flowing across blockchains.

Method and system for identifying incipient field-specific entity records

A method of identifying incipient field-specific entity records required by a user. The method includes receiving user-input of a specific field, wherein the specific field corresponds to a specific field segment, obtaining field-specific entity records associated with the specific field segment, analyzing each of the field-specific entity records to determine an importance score, identifying at least one pair of field-specific entity records having at least one similar entity attribute and designating relations between them, determining weightage score of each relation between the at least one pair of field-specific entity records, determining change in the importance score and change in weightage scores of each relation associated with each field-specific entity record over a predefined duration of time, determining net score of each of the field-specific entity records and identifying incipient field-specific entity records based on the net score of each of the field-specific entity records.

Method and system for generating parsed document from digital document

A method and system for generating a parsed document from a digital document. The method includes segmenting the digital document into at least one section; classifying the at least one section of the digital document into at least one of a class: text class, table class, figure class, noise class; identifying a reading order of the digital document; and processing each of the at least one section of the digital document. Furthermore, processing each of the at least one section of the digital document comprises extracting content from each of the at least one section based on the class; and structuring the extracted content based on the reading order to generate the parsed document.

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System and method of creating index

A system, that when operated, creates an index for a database arrangement, wherein the system includes a support server and an indexing server communicably coupled to the database arrangement, wherein the support server: receives a document, metadata pertaining to the document, and a document identifier associated with the document; extracts keywords from the document and store the keywords in a meta-document; stores the document identifier corresponding to the metadata in the database arrangement; and provides, to the indexing server, the meta-document and the document identifier; and wherein the indexing server: receives the meta-document and the document identifier from the support server; extracts keywords from the meta-document; and creates the index, wherein the index includes document identifier listed corresponding to the extracted keywords.

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METHOD AND SYSTEM FOR GENERATING A GRAPH NEURAL NETWORK COMPRISING ASSOCIATION OF ONE OR MORE ORGANS WITH A DISEASE

A method and system for generating a graph neural network comprising association of one or more organs with a disease. The method enables target identification of organs to expediate the drug purposing or discovery process. The method and system is an implementation of digital phama to accelerate target identification for drug design. The method comprises identifying one or more organs associated with a disease from one or more categories, wherein the one or more categories comprises of an organ ontology, one or more information indicative of the disease, plurality of abstract of publications. Weights are assigned to each of the one or more categories and the identified one or more organs, wherein the weights are assigned to the identified one or more organs based on one or more of—frequency of the keywords appearing the one or more categories, and one or more location of the keywords appearing the plurality of abstracts of publications. The method further comprises normalizing and summing the assigned weights to determine a probability and association indicative of the one or more organ being associated with the disease to generate a graph neural network of the one or more organs associated with the disease. The graph neural network is based on the probability and the association indicative of the one or more organ being associated with the disease.

System and method for extracting tabular data from electronic document

Disclosed is system for extracting tabular data from electronic document, system having data processing arrangement comprising: tabular data detection module that is operable to: (i) receive electronic document; (ii) determine location of tabular data within electronic document; and (iii) extract image of tabular data from electronic document; and tabular data extraction module that receives extracted image of tabular data from tabular data detection module, wherein tabular data extraction module is operable to: (i) convert received image of tabular data into greyscale image; (ii) extract grid structure from greyscale image; (iii) remove grid structure from greyscale image; (iv) determine position for placement of horizontal and vertical lines in greyscale image; (v) generate horizontal and vertical lines on greyscale image; (vi) perform optical character recognition of text associated with tabular data from received image; and (vii) extract tabular data by combining information of grid ...

System and method for retrieving data records

Disclosed is a system for retrieving data records from database arrangement based on search query. The database arrangement comprises plurality of data records that are associated with at least one concept. The system comprises ontological databank and processing arrangement. The ontological databank comprises plurality of concept buckets comprising plurality of concepts. The ontological databank is structured using structuring arrangement communicably coupled to ontological databank. The structuring arrangement comprises classification module to classify plurality of concepts, variant module to generate lexical variants of plurality of concepts, and normalization module to determine validity of plurality of concepts and association of new concept with one of plurality of concept buckets. The processing arrangement is operable to receive search query, process search query based on ontological databank, retrieve data records from database arrangement based on processed search query, and ...

System and method for executing access transactions of documents related to drug discovery

Disclosed is a system for executing access transactions of documents, for example, pertaining to drug discovery. A document and its metainformation are obtained, and value features are extracted from the document based on identification of concepts associated with the document. An importance score of the document is determined based on the value features and the metainformation. A summarized view of the document is constructed based on the value features, the metainformation, the concepts and the importance score. A unique identifier is generated for the document and associated with the summarized view and the concepts of the document. A search query is processed, and the summarized view of the document is retrieved and displayed based on the query. A request for accessing the document is validated, and document access is allowed when the request is validated successfully. The document access transaction may, for example, be facilitated using a blockchain platform.

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System and method of managing access to remote digital platforms

Disclosed is a system for managing access to a plurality of remote digital platforms, wherein the system comprising a plurality of platform databases, wherein a given platform database is associated with a given remote digital platform and stores metadata related thereto, the system further comprising: a user device, wherein an existing user generates a user-request, and provides a remote digital platform identifier; an access-control database comprising information relating to roles and permissions associated with a plurality of users; a key-store database comprising private key associated with the plurality of users; and a server arrangement, the server arrangement: identifies a given remote digital platform server; obtains credentials from the existing user and verifies the credentials; determines roles and permissions associated with the existing user; retrieves a private key; verifies the private key with a public key stored at the given remote digital platform server; and enables a data communication network.

Assessment of documents related to drug discovery

Disclosed is a system and method for determining an assessment value of a document related to a current research work of researcher(s) in drug discovery. Information pertaining to the document is processed to identify entities and semantic inter-relationships specific to the current research work. Information indicative of entities and semantic inter-relationships specific to a previous research work of the researcher(s) is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine an association factor indicative of an extent of an association between the current research work and the previous research work of the researcher(s). Information indicative of entities and semantic inter-relationships related to the technical field of the current research work is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine a status factor indicative of a novelty of the document with respect to the knowledge available publicly. The assessment value of the document is then determined based at least upon the association factor and the status factor. The assessment value may, for example, be determined in a crypto-currency for enabling future transactions of the document using a blockchain.

System and method for identifying duplicate document submission on a publishing platform

Disclosed is a system and method for efficient comparison of experimental research documents to identify original research work. The system when operated, provides a platform for comparing a user submitted document with documents existing in the platform and documents available in public domain. Further, the system is capable of identifying originality and the similarity of the user submitted documents, in comparison with existing documents, based on a calculated similarity index.

SYSTEM FOR PREDICTION OF THE DRUG TARGET LANDSCAPE FOR THERAPEUTIC USE AND A METHOD THEREOF

There is disclosed an Artificial Intelligence (AI) assisted drug discovery system and a method for generating active and inactive targets for a given drug. The generated targets comprise the complete target landscape for the given drug. The system comprises a processor which is configured to train a multi-label deep learning neural network and a predictive model to generate and validate a prediction score, and further execute the trained multi-label deep learning neural network and the trained predictive model to identify targets associated with the given drug, and generate the active and inactive targets for the given drug molecule in response to the generated prediction score for each target associated with the given drug.

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System and method for comparing plurality of documents

Disclosed is a system for comparing a plurality of documents, wherein each of the plurality of documents comprise one or more sentences the system comprises a lexicon ontology represented into multi-dimensional hierarchical space communicably coupled with a server arrangement. The server arrangement is configured to obtain the documents, tokenize, using a tokenizer module, the sentences in each of the documents to obtain a plurality of tokens for each of the documents, determine token coordinates of each of the tokens in the multi-dimensional hierarchical space representing the lexicon ontology, determine sentence coordinates for each of the sentences in the documents using a transmutation module, generate similarity scores for each of the sentences in the documents using a comparison module, and determine a measure of similarity between the documents based on the similarity scores of the sentences in the documents.

System and method for management of processing task across plurality of processors

Disclosed is a system and method for management of a task across a plurality of processors, wherein the task processing of a plurality of records. The system includes a plurality of processors and an administrator module. Each of the plurality of processors processes a set of records added in a given time interval and the administrator module determines the time interval for a given processor. The administrator module is operable to receive a timestamp detailing a time when the given record was added to the database arrangement; determine a time period in which the plurality of records were added to the database arrangement; determine a time and record threshold for a given processor; and adjust the time interval allocated to each of the plurality of processors according to the time threshold and the record threshold, based on a time-based distribution of records in the database arrangement.

Method and system for performing context-based search

A method and a system for performing context-based search. The method is executed by a processing module. The method includes developing a search database, developing a search query, and retrieving at least one context-based data-record from the search database.

System and method for on-demand unsupervised data analytics on blockchain

Disclosed herein is a system and method for performing on-demand data analytics directly on blockchain without the need to extract data from the blockchain to an external intermediary platform. The system and method disclosed herein enable unsupervised learning-based analysis directly on the blockchain, for data records stored on the blockchain. Furthermore, the system and methods disclosed herein allows a consumer to execute custom data analysis algorithms, in addition to standard data analytics, on data records to generate useful insights.

System and method for providing recommendations of documents

A system that provides recommendations of documents to a user, the system including a server arrangement, and a database arrangement that stores documents, wherein the server arrangement: receives identification details of the user, obtains prior work associated with the user, determines a user classification of the user based on: the identification details of the user, the prior work associated with the user, and an activity data of the user, determines a document classification for the documents based on a metainformation pertaining to the documents, determines a relevance factor for the documents with respect to the user based on the document classification of the documents, the user classification of the user, and activity data relating to the documents of a plurality of users with similar user classification as the user, and provides recommendations of documents to the user based on relevance factors of the documents.

Method and system for creating entity records using existing data sources

A method and a system for creating entity records. The method includes extracting data records from existing data sources, the data records including entity names and attributes associated therewith; identifying the entity names and attributes corresponding thereto, in each extracted data record; classifying identified entity attributes, based on attribute signatures associated therewith; clustering data records based on similar classified entity attributes and/or similar entity names; comparing entity attributes in clustered data records to identify entity attributes with missing attributes data; assigning representative attributes data to entity attributes with missing attributes data; combining clustered data records to form entity record segments; clustering entity record segments based on similar identity signatures thereof; comparing relevant entity attributes of clustered entity record segments to identify entity record segments having a relation therebetween; and combining related ...

System and method for blockchain-based secure data processing

Disclosed herein is a system and method for secure remote data processing between two or more entities over a blockchain. The invention provides for processing of data records within a data structure repository of a smart contract hosted on a blockchain, thereby eliminating the need to transfer the data records to one another, by the entities. The processing is secure and the data records are deleted once the processing is complete.

Authenticate transactions of secured file in blockchain

Disclosed is system and method for authenticating secured file transactions. Hash of transaction is stored in distributed ledger. Unencrypted intent, encrypted intent of first agent module is generated. Unencrypted consent, encrypted consent of server arrangement is generated. Encrypted consent is communicated to the first agent module along with a location of second agent module. Encrypted consent, the unencrypted intent, the hash and the first agent key are communicated to the second agent module. Encrypted consent is communicated to server arrangement. Encrypted consent is validated by comparing encrypted consent received from second agent module with two newly generated encrypted consents at server arrangement. Two new encrypted intents are generated at second agent module based on validation of encrypted consent. Encrypted intent stored at server arrangement is validated by comparing encrypted intent with two newly generated encrypted intents to authenticate transaction. Distributed ...

METHOD AND SYSTEM FOR EXTRACTING USER-SPECIFIC CONTENT

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SYSTEM AND METHOD OF WORKLOAD MANAGEMENT FOR DISTRIBUTING WORKLOAD OVER SIMD BASED PARALLEL PROCESSING ARCHITECTURE

A method of workload management for distributing workload over a single instruction and multiple data (SIMD) based parallel processing architecture includes pre-processing of vert large ontology file on the host processor. The outcome of the preprocessing step is a set of arrays which are loaded on the SIMD based parallel processing architecture to process the ontology file over input text documents of any kind and generate the tagged outcome. The method provides the maximum granularity to facilitate allocation of the maximum number of software threads on the SIMD based parallel processing architecture to achieve minimum document processing latency.

METHOD AND SYSTEM FOR EVALUATING POTENTIAL DRUG COMPOSITIONS FOR TARGET DISEASE

A method for evaluating potential drug compositions for a target disease. The method includes providing a data input to a discovery engine, using the discovery engine to identify a first set of potential drug compositions for the target disease. The discovery engine is configured to analyze failed clinical assets of drugs for the target disease, wherein the discovery engine filters clinical trials which have failed due to non-drug safety related issues, perform differential gene expression analysis on normalized target-disease-related data, evaluate effect of known drugs used for diseases similar to the target disease, and perform a network-based analysis to identify repurposable drugs. Furthermore, asset prioritization is used to filter the first set of potential drug compositions to determine at least one potential drug composition for the target disease and validating the at least one potential drug composition for the target disease based on biological evidence and differential expression analysis.

System and method for name entity disambiguation with latent topic and deep graph analysis

A system for entity disambiguation. The system includes a server arrangement communicably coupled to a database arrangement including a plurality of documents. The server arrangement is configured to generate an entity network by parsing the plurality of documents, determining latent features relating to the plurality of documents and identifying relationships between the latent features and at least one document entity; determine importance score of each of the name entities using centrality algorithms; determine a relevance score of at least one document entity using link analysis algorithms; cluster the name entities based on the relationships therebetween using clustering coefficients; assign a name entity from each cluster of name entities as the person entity; and employ contextual information determined for the entity network to be used in a mathematical model for entity disambiguation.

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Method and system for identifying key terms in digital document

Disclosed is a method and a system for identifying key terms in a digital document. The method comprises providing the digital document and analysing the digital document to identify key terms in the digital document. The digital document includes a first text in a first language. Furthermore, analysing the digital document comprises translating the first text in the first language to obtain a second text in a second language, translating the first text in the first language to obtain a third text in a third language, translating the obtained second text in the second language to obtain a fourth text in the third language, comparing at least one pair of first text, second text, third text and fourth text to identify at least one set of similar text between the compared at least one pair, and processing the set of similar text to obtain key terms in the digital document.

System and method for supervised learning-based prediction and classification on blockchain

Disclosed herein is a system and method for performing on-demand supervised learning-based data analytics directly on blockchain without the need to extract data from the blockchain to an external intermediary platform. The system and method disclosed herein enable supervised learning-based analysis directly on the blockchain, for data records stored on the blockchain. Furthermore, the system and methods disclosed herein allows a training and validation of supervised learning-based algorithms using data records from the transaction blocks of the blockchain without the need of an intermediary platform external to the blockchain.

DETERMINING DRUG COMBINATIONS, SYNERGISTIC DRUG COMBINATION AND USE THEREOF IN PANCREATIC CANCER TREATMENT

A method for determining combination drug and use in pancreatic cancer treatment, includes retrieving Pancreatic cancer datasets from a plurality of data sources based on selected types of expression profiling. A set of feature genes is determined based on differential gene expression analysis of disease samples and control samples in normalized pancreatic cancer datasets. Pancreatic cancer targets are selected for combination analysis based on druggability and determined set of feature genes. Based on node embedded clustering of the selected pancreatic cancer targets, synergistic target pairs is determined. Candidate pairs of drug combinations are selected from a plurality of pairs of drug combinations based on cumulative ranking score of each pair of drug combination and the synergistic target pairs. Based on prioritization of candidate pairs of drug combinations, filtration of drug combinations of epidermal growth factor receptor inhibitor, and external validation, one or more sets of drug combinations are determined.

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Method and system for managing network of field-specific entity records

Disclosed is a method of managing a network of field-specific entity records. The method comprises accessing the network of field-specific entity records comprising at least one pair of field-specific entity records within at least one field segment, wherein the at least one pair of field-specific entity records is associated with relations therebetween, and wherein the at least one pair of field-specific entity records comprises a first pair of field-specific entity records and at least one second pair of field-specific entity records; determining a weightage score of each of the relations between the at least one pair of field-specific entity records; determining an importance score of each field-specific entity record; determining a change in the importance score, and/or the weightage score of a relation between field-specific entity records of the at least one second pair of field-specific entity records; and updating the network of field-specific entity records.

System and method for generating summary of research document

Disclosed is a system for generating summary of at least one research document. The system comprising computing device associated with an entity, data repository comprising ontological database and synonym database and server arrangement communicably coupled via one or more data communication networks with the computing device and the data repository. The server arrangement is configured to acquire information included in at least one research document, analyze information using ontological database and synonym database to identify set of keywords corresponding to at least one research document, assign first score to each of the keywords based on document-centric property, assign second score to one or more relationships between the keywords based on relationship-centric property and generate summary for at least one research document. Summary comprises: first portion generated based upon informatory data, second portion generated based on keywords and third portion generated using machine ...

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System and method for executing service request

Disclosed is system for executing service request. The system comprises a processing arrangement and data sources. The processing arrangement receives the service request and is configured to extract data from the data sources based on the service request. The data sources respond in response to a characteristic framework of the service request. The system further comprises an administrator module to permute the service request received by the processing arrangement in accordance with the characteristic framework employed by the data sources. The administrator module is configured to identify at least one attribute of the service request, obtain data corresponding to the at least one attribute of the service request from the data sources, normalize the obtained data and provide the normalized data to execute the service request, via the processing arrangement.

SYSTEM AND METHOD FOR EFFICIENT MANAGEMENT OF A SEARCH DATABASE FOR RETRIEVING CONTEXT-BASED INFORMATION

A system and method for efficient management of a search database for retrieving context-based information, system including a database and processor, wherein the database includes columnar database for storing a plurality of documents, an ontological database configured to represent a plurality of concepts as nodes in a network and relationships between the concepts as edges between nodes and the search database configured to store an inverted index of the plurality of documents in the columnar database. Herein, the processor is configured to identify, using the ontological database, a set of concepts in each of the plurality of documents and store, in the search database, corresponding to a given document the set of concepts identified in the given document, and secondary concepts relating to the given document, wherein a secondary concept has a direct relationship in the network with at least one of the concepts in the set.

System and method of creating entity records

A system that creates entity records, wherein the system includes a computer system. The system includes: a database arrangement operable to store existing data sources and a processing module communicably coupled to the database arrangement. The processing module is operable to receive unstructured data from existing data sources; structure the unstructured data to obtain data-records, wherein the data-records comprise entity names and entity attributes associated with the entity names; bucket data-records into one or more buckets based on similar entity attributes thereof; create intermediate clusters including at least one of the one or more buckets based on a pattern recognition algorithm; calculate a prediction probability score associated with each of the data-records within the intermediate clusters; combine the data-records from the intermediate clusters to obtain an entity-record, wherein the combined data-records include a prediction probability score higher than a predefined ...

System and method for executing access transactions of documents related to drug discovery

Disclosed is a system for executing access transactions of documents, for example, pertaining to drug discovery. A document and its metainformation are obtained, and value features are extracted from the document based on identification of concepts associated with the document. An importance score of the document is determined based on the value features and the metainformation. A summarized view of the document is constructed based on the value features, the metainformation, the concepts and the importance score. A unique identifier is generated for the document and associated with the summarized view and the concepts of the document. A search query is processed, and the summarized view of the document is retrieved and displayed based on the query. A request for accessing the document is validated, and document access is allowed when the request is validated successfully. The document access transaction may, for example, be facilitated using a blockchain platform.

System and method of managing key entity records

A system of managing key entity records required by a user. The system includes a database arrangement operable to store a structured database including entity records and a processing module communicably coupled to the database arrangement. The processing module is operable to receive the structured database including entity records; determine an importance score for each of the entity records; identify key entity records based on the determined importance scores of the entity records; receive a tuning-input from the user; calculate a tuned importance score for each of the entity records based on the tuning-input from the user; and identify the key entity records required by the user based on the tuned importance scores of the entity records.

Method and system for extracting entity information from target data

Disclosed is a method and a system for extracting entity information from target data. The method comprises: providing the target data; refining the target data to obtain at least one base entity information having a plurality of base entity units using an algorithm, wherein the algorithm is based on a predefined syntax; generating a plurality of strings for each of the base entity information, wherein the plurality of strings comprises at least one base entity unit among the plurality of base entity units; sorting the plurality of strings in a decreasing order of length of the plurality of strings; identifying an entity type of the plurality of strings, based on an ontology, by processing the plurality of strings sequentially; assigning labels to the plurality of strings based on the entity type; and mapping the labelled plurality of strings to a predefined signature to obtain the entity information.

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System and method of presenting information related to search query

Disclosed is system for presenting information related to a search query, comprising: a client device configured to receive the search query; a database arrangement; an ontological databank and a server arrangement communicably coupled to the client device and the database arrangement, wherein the server arrangement is configured to: receive the search query, segment the search query into one or more query segments; identify one or more query concepts associated with one or more query segments, wherein each of the one or more query concepts are tagged with a corresponding entity class; determine a data structure for the information related to the search query based on one or more metrics of the relationships of the one or more query concepts, and render, on the client device, the information related to the search query presented in the data structure.

Method and system for extracting user-specific content

A method and a system for extracting user-specific content. The method is executed by a processing module. Furthermore the method includes providing target data, generating hierarchical data structure of the target data, wherein hierarchical data structure includes one or more segments, determining an importance factor for each of the one or more segments using an algorithm, identifying one or more relevant segments based on the importance factor of each of the one or more segments, and compiling one or more relevant segments to obtain the user-specific content.

System and method of workload management for distributing workload over SIMD based parallel processing architecture

A method of workload management for distributing workload over a single instruction and multiple data (SIMD) based parallel processing architecture includes pre-processing of vert large ontology file on the host processor. The outcome of the preprocessing step is a set of arrays which are loaded on the SIMD based parallel processing architecture to process the ontology file over input text documents of any kind and generate the tagged outcome. The method provides the maximum granularity to facilitate allocation of the maximum number of software threads on the SIMD based parallel processing architecture to achieve minimum document processing latency.

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System and method for determining temporal citation count

Disclosed is a system for determining a temporal citation count for a document associated with an author, wherein the system comprises a database arrangement storing metadata related to the document, and a server arrangement communicably coupled to the database arrangement, wherein the server arrangement receives the metadata associated and employs dimensionality reduction techniques on the metadata to obtain a state data; designates the author of the document as a source node in the entity network comprising information related to a plurality of authors and citation history between the plurality of authors, wherein the remaining authors in the plurality of authors are designated as destination nodes determines an edge weight for edge between any of the source node and the destination nodes based on the state data; and aggregates the edge weight for the edges to obtain the temporal citation count.

System and method for assessing valuation of document

A system and method for assessing valuation of a document. The system includes a server arrangement communicably coupled to a client device. The server arrangement is configured to obtain information pertaining to document and ontologically map to identify relevant entities and semantic inter-relationships between identified entities for the current research work in the document; access information about entities and semantic inter-relationships related to existing research work in technical field from publicly accessible knowledge; compare the entities and the semantic inter-relationships related to the current research work in the document with the entities and the semantic inter-relationships related to existing research work determine a novelty of the document; and determine an assessment value of the document, based on the determined novelty of the document with respect to the publicly accessible knowledge, utilizing an expectation maximization algorithm.

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SYSTEM AND METHOD FOR GENERATING A NOVEL MOLECULAR STRUCTURE USING A PROTEIN STRUCTURE

A system for generating a novel molecular structure using a protein structure is disclosed. One or more processors generate a protein voxel representation of a protein structure that includes a multichannel three-dimensional (3D) grid that includes a plurality of channels. A cavity region is detected in the protein voxel representation based on a combination of rule-based detection and a deep learning based model. A cavity voxel representation of the cavity region is generated based on upscaling of a regional voxel of the detected cavity region. A ligand voxel representation of a ligand structure is generated based on the cavity voxel representation. A 3D voxel descriptor is determined for a protein-ligand complex based on the protein voxel representation and the ligand voxel representation. A simplified molecular-input line-entry system (SMILES) of a novel molecular structure is generated using a rich 3D embedding vector, which is based on the 3D voxel descriptor.

System and method for identifying at least one association of entity

A system and method for identifying at least one association of an entity. The system includes a processing module and a database arrangement communicably coupled to processing module. The processing module is operable to receive an input comprising data related to the entity; acquire web content related to the received input from a plurality of data sources; filter the acquired web content to obtain information relating to the entity; identify probable associations of the entity from the information relating to the entity using an ontology; determine for each of the probable associations, at least one of: a recency attribute, a frequency attribute, a proximity attribute, a semantics attribute; determine a probability score for each of the probable associations of the entity; and identify the at least one association of the entity from the probable associations, wherein the at least one association corresponds to a highest probability score.

Method and system of presenting information related to search

A method and system for presenting information related to a search. A user is operable to perform the search on a computing device using search query. The method includes providing first input area, for receiving the search query from the user, on a first user-interface of the computing device, displaying one or more query segments and relations between the query segments on a second area of the first user-interface, providing an arranged set of extracted search results in a third area of the first user-interface, providing list of one or more concepts associated with the extracted search results in a fourth area of the first user-interface, and providing information, related to a selected search result or a selected concept, on a second user-interface, in response to a selection input, from the user, based on one of a search result or a concept associated with the search results.

Authenticate transactions of secured file in blockchain

Disclosed is a system and method for authenticating secured file transactions in a tri-party setup. The system comprises of a first agent module, a second agent module, a server arrangement, and a distributed ledger communicably coupled with each other. The system is configured to store a hash corresponding to a transaction in the distributed ledger. The system is further configured to validate a first agent module and a server arrangement to authenticate transfer of secured files.

System and method for efficient management of a search database for retrieving context-based information

A system and method for efficient management of a search database for retrieving context-based information, system including a database and processor, wherein the database includes columnar database for storing a plurality of documents, an ontological database configured to represent a plurality of concepts as nodes in a network and relationships between the concepts as edges between nodes and the search database configured to store an inverted index of the plurality of documents in the columnar database. Herein, the processor is configured to identify, using the ontological database, a set of concepts in each of the plurality of documents and store, in the search database, corresponding to a given document the set of concepts identified in the given document, and secondary concepts relating to the given document, wherein a secondary concept has a direct relationship in the network with at least one of the concepts in the set.

System and method for managing transactional interoperability amongst blockchains

Disclosed is system and method for managing transactional interoperability amongst plurality of blockchains, the plurality of blockchains comprising a non-host blockchain and a host blockchain. The server arrangement is configured to append a first transaction to the non-host blockchain, first transaction comprising metadata pertaining to the user transaction, append a second transaction to the host blockchain, the second transaction comprising the first hash address, wherein second transaction triggers an initial smart contract of the host blockchain to store an operational information response at a second hash address in the distributed file storage system; append a third transaction to non-host blockchain, the third transaction comprising the second hash address, append a fourth transaction in the host blockchain, fourth transaction comprising third hash address, wherein the fourth transaction triggers initial smart contract of the host blockchain to update user wallet account based on output generated from the execution of user transaction.

SYSTEM AND METHOD OF PREDICTING BIOLOGICAL ACTIVITIES OF CHEMICAL COMPOUND PRESENT IN A NEW DRUG

A system for predicting biological activities or properties of one or more chemical compounds in a new drug. The system includes a processor configured to receive a plurality of input datasets including a plurality of simplified molecular-input line-entry system (SMILES) notations and execute a pre-trained Natural Language Processing (NLP) model to transform the plurality of SMILES notations into a plurality of non-sparse matrices. The processor is configured to train a deep learning model using the plurality of non-sparse matrices to obtain a trained deep learning model, where the trained deep learning model is used to predict one or more biological activities of an untested chemical compound in the new drug when the chemical compound in the drug is subjected to at least one chemical modification to form the new drug. The system efficiently and reliably predicts the biological activities or properties of the untested chemical compound in the new drug.

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Method and system for managing primary field-specific entity records required by user

A method and a system for managing primary field-specific entity records required by a user. The method includes developing a structured database to identify field-specific entity records, identifying pairs of field-specific entity records having similar entity attribute in the field segments, designating relations between the identified pairs of field-specific entity records, determining a weightage score of the relations between the pairs of field-specific entity records, determining an importance score of each of the field-specific entity records based on the plurality of entity attributes of the field-specific entity record and relations of the field-specific entity record, receiving a first user-input based on a field specified by the user, identifying the primary field-specific entity records based on the determined weightage scores and the determined importance scores of the field-specific entity records in the field segment associated with the specified field.

Method and system for providing suggestions for completing user-query

Disclosed is a method of providing at least one suggestion for completing a user-query, the method comprising receiving the user-query related to a domain of user-interest; determining if the domain of user-interest corresponds to the subject matter; identifying at least one element of the user-query; classifying the at least one element into at least one class using the ontology; changing the class of the at least one element occurring at an end position within the user-query to the others class; identifying the at least one element of the concept class occurring at a farthest position within the user-query; concatenating the at least one element of the concept class occurring at the farthest position with each of the at least one element occurring thereafter, to obtain a concatenated string of elements; identifying at least one suggestion using the ontology; and providing the at least one suggestion for completing the user-query.

SYSTEM AND METHOD FOR OPTIMIZING TRIAL DESIGN FOR CLINICAL TRIALS

A system and method for optimizing trial design for clinical trials. The system includes a computer system and a processor communicably coupled to a memory. The processor processes and structures raw trial data to a format suitable for input to train a machine learning model. The processor further identifies plurality of independent features of the raw trial data and screens actionable features. Further, the processor computes cut off range values for each of the actionable features and form a plurality of sub-groups of patients. The processor simulates patient response of each of the plurality of sub-groups of patients and identifies a sub-group of patients based upon population percentage and delta response that shows optimal clinical trial results in the simulated patient response.

METHOD AND SYSTEM FOR GENERATING A PLURALITY OF ANTIBODY SEQUENCES

A method and system for generating a plurality of new antibody sequences corresponding to a target from a single lead antibody sequence. A model is pre-trained with a training dataset of plurality of known antibody sequences to learn a structural pattern from the plurality of known antibody sequences. The method includes receiving the single lead antibody sequence. The lead antibody sequence has one or more regions. The regions have one or more lead framework regions (FR) and one or more lead complementarity determining regions (CDR). The pre-trained model is configured to process the single lead antibody sequence to identify a relationship between the one or more lead framework regions (FR) and one or more lead complementarity determining regions (CDR). A plurality of new antibody sequences are generated from the single lead antibody amino acid of the sequence by the pre-trained model based on the identified relationship and the structural pattern.

System and method for interoperability of blockchains

Disclosed herein is a system and method for interoperability of blockchains thereby allowing use of smart contracts across blockchains in real time and in a secured manner. A plurality of blockchains are connected to each other and allow use of smart contracts written on them by other connected blockchains without the need of rewriting and/or downloading the smart contract on other blockchain. The disclosed system and methods use a distributed file system storage for secured processing of information flowing from one blockchain to other connected blockchain. Further, each connected blockchain is associated with distinct private and public key in order to encrypt and decrypt the data flowing across blockchains.

System and method for crawling web-content

Disclosed is a system comprising: a data repository storing web-content; a data processing arrangement communicatively coupled to data repository, wherein data processing arrangement is configured to: acquire a web-page signature file associated to web-content, from a web-server hosting a website for displaying web-content, wherein web-page signature file includes a plurality of data related to web-content; analyse plurality of data included in web-page signature file to identify a modification in website; compare web-content stored in data repository with web-content displayed on website to determine additional web-content included in web-content displayed on website; use a machine learning algorithm to determine an importance value for additional web-content using a set of predefined parameters; crawl web-content stored in data repository based on additional web-content upon determining importance value to be greater than a predefined threshold value; and predict a time for crawling web-content ...

METHOD AND SYSTEM FOR RETRIEVAL OF CONTEXTUAL INFORMATION RELATED TO UNMET MEDICAL NEED OF AN INDICATION

A method and system for retrieval of contextual information related to unmet medical need of an indication. The identification of unmet medical need of an indication becomes a critical information in the drug discovery process. The system for retrieval of contextual information related to unmet medical need of an indication enables providing assistance to scientists through digital pharma. The method comprises scanning plurality of medical literature documents to extract and tokenize the documents into plurality of sentences. The scanned plurality of sentences is modelled, by one or more processors, to identify contextually labelled one or more sentences comprising indications, one or more unmet medical need categories, one or more unmet medical need attributes. The plurality of sentences is modelled using one or more of natural language processing techniques and supervised ML classifier. The modelled contextually labelled one or more sentences, the indications, one or more unmet medical need categories, one or more unmet medical need attributes are indexed to retrieve the contextual information related to the unmet medical needs of the indications.

SYSTEM AND METHOD FOR GENERATING POTENTIAL DRUG COMPOSITIONS FOR DISEASE TARGET

A system for generating drug compositions for a disease target, the system comprises a database arrangement and a processor, wherein the processor is configured to receive information comprising one or more drugs associated with the disease target, identify a plurality of parameters associated with the disease target, using the database arrangement, construct a matrix to identify at least one of direct and indirect synergies of each of the drug with the plurality of parameters and assign weights thereby to each of the parameters with respect to each of the drug, based on the identified at least one of direct and indirect synergies, calculate a total score of each of the drug and rank the plurality of drugs based on the calculated total score and sort thereby the plurality of drugs. The processor then determines the one or more potential drug compositions on the basis of the sorted plurality of drugs.

Collaborative generation of ontology on a blockchain

The present invention relates to a system and method of secure collaborative generation of an ontological databank on a blockchain. Ontology on a blockchain results in immutable records of contributions from one or more information contributors. Further, an approval system enables the ontology to remain uncorrupted and free of redundant information. Further, a system and method for accessing one or more data records from an ontological databank on a blockchain is provided wherein for each retrieval of data record, a corresponding information contributor is compensated for his contribution to the ontological databank.

System and method of crawling wide area computer network for retrieving contextual information

A system and method for crawling a wide area computer network for retrieving contextual information. The system includes a data processing arrangement including a communication interface for accessing the wide area computer network and a web crawling module. The web crawling module is operable to receive an input file including plurality of Uniform Resource Identifiers (URIs) via a user interface, identify accessible URIs from the plurality of accessible URIs, obtain one or more features associated with accessible URIs, and execute an event for crawling the accessible URIs, the event includes creating resource cluster for executing the event, acquiring electronic record file to be executed by the resource cluster, and crawling the accessible URIs, furthermore, the web crawling module processes the extracted web content to identify contextual data. The system further includes a database arrangement communicably coupled to the data processing arrangement to aggregate contextual data therein.

SYSTEM AND A METHOD FOR STOCHASTICALLY IDENTIFYING AN ENTITY IN AN INPUT DATA

The present disclosure describes a system and method for identifying an entity in an input data. The present disclosure seeks to provide a solution to the existing problem of accessing entire components of input strings together. Moreover, the present disclosure provides an optimal way of substantially reducing effort required in accessing an entity. Furthermore, the present disclosure seeks to overcome the problem of text segmentation, i.e., the requirement of exact words in an input string for identifying the correct entity in an input string. Beneficially, the disclosed system and method utilizes any name normalization algorithm to allow for fuzzy keyword matching that can be used as a named entity recognition in an input data. The present disclosure provides an effortless and less time-consuming solution for identifying correct entity in an input data.

Systems and methods for determining contextually-relevant keywords

Disclosed is a system for determining contextually-relevant keywords related to text of an electronic document. The system comprises a memory, a database arrangement comprising an ontology and a synonym databank, a data processing arrangement and a sever arrangement. The data processing arrangement is operable to fetch the electronic document stored within the memory. Furthermore, the data processing arrangement determines the common words from the ontology and the synonyms corresponding to the common words from synonym databank. Moreover, the data processing arrangement determines the generated set of keywords comprising the common words and the synonyms. The server arrangement determines a preference score and an importance score for each keyword of the generated set of keywords. Furthermore, the server arrangement determines the cumulative rank of each keyword based on the preference score and the importance score, therefore determining contextually-relevant keywords.

SYSTEM AND METHOD FOR ENABLING IN-SILICO PHENOTYPIC SCREENING OF DRUGS

A system for enabling in-silico phenotypic screening of drugs, the system is communicably coupled to a phenotype ontological databank. The system include a processor communicably coupled to a memory. The processor is configured to receive a name of at least one drug as an input, fetch targets of at least one existing drug that is similar to the at least one drug to obtain a drug target list, determine, phenotypes of the at least one drug based on associations between the targets in the drug target list and the phenotypes, said associations being accessed from the phenotype ontological databank, generate a network comprising the at least one drug, the targets and the phenotypes, determine a plurality of groups of similar phenotypes that belong to similar biological processes or clinical pathologies, and determine expressions of the phenotypes in each of a plurality of tissues, based on gene, protein and tissue expression data accessed from at least one database, determine tissues where the ...

SYSTEM AND METHOD FOR SELECTING A SET OF CANDIDATE DRUG COMPOUNDS

A method for selection of a set of candidate drug compounds includes generating a plurality of knowledge-based pathways based on at least relevant information. The relevant information is extracted from structured information based on an ontology of interest. A set of target structures is identified based on the plurality of knowledge-based pathways. A plurality of candidate drug compounds is determined for the identified set of target structures. Based on safety analysis of the plurality of candidate drug compounds using a lethality index, a set of candidate drug compounds is selected from the plurality of candidate drug compounds.

METHOD AND SYSTEM FOR GENERATING A PLURALITY OF ANTIBODY SEQUENCES OF A TARGET FROM ONE OR MORE FRAMEWORK REGIONS

A method and system for generating a plurality of antibody sequences of a target from one or more framework regions based on at least one model. The model is trained on a training dataset of high binding affinity to generate the complementarity determining regions (CDR) from the received one or more framework regions (FR). The generated complementarity determining regions (CDR) from the each of the one or more framework regions (FR) are combined with the associated one or more framework regions to generate one or more regions of the target. The generated one or more regions comprises each of the received one or more framework regions (FR) and corresponding each of the generated complementarity determining regions (CDR). The generated one or more regions are concatenated to generate the plurality of antibody sequences of the target. The generated plurality of antibody sequences of the target has high binding affinity.

System and method for context-based abbreviation disambiguation using machine learning on synonyms of abbreviation expansions

Disclosed is a system for context-based abbreviation disambiguation, the system comprising: an ontological databank represented into a multi-dimensional space, a synonym databank, a glossary databank, and a server arrangement. The server arrangement is configured to obtain a text comprising abbreviations and concept phrases, extract a target abbreviation from the abbreviations, obtain potential expansions for the target abbreviation, calculate a synonym match score for potential expansions, using synonyms of the potential expansions and the concept phrases, calculate a concept match score, using concepts relating to the potential expansions and the concept phrases, calculate a context match score for the potential expansions using a comparison module, and determine one of the potential expansions as a valid expansion of the target abbreviation based on at least one of the: synonym match score, concept match score and context match score.

Method and system for performing topic-based aggregation of web content

A method and a system for performing topic-based aggregation of web content. The method includes receiving a plurality of Uniform Resource Identifiers, wherein each of the plurality of Uniform Resource Identifiers points to a web location related to a subject-matter; crawling the web location, to fetch web content related to the subject-matter, wherein the web content includes one or more elements; generating an electronic record file for storing the web content, and meta-information associated with the crawling of the web location; identifying a first type and at least a second type of the one or more elements; processing the first type of element to obtain a topic-based web content corresponding to a category associated with the subject-matter, and the at least one second type of element to obtain operational data; and aggregating the topic-based web content into a database.

PHOSPHOINOSITIDE 3-KINASE AND SRC INHIBITORS FOR TREATMENT OF PANCREATIC CANCER

A phosphoinositide 3-kinase inhibitor for use in the treatment of pancreatic cancer and a method for treatment of pancreatic cancer including administration of an phosphoinositide 3-kinase inhibitor an Src inhibitor to a human subject in need thereof. There is also provided a pharmaceutical composition comprising a phosphoinositide 3-kinase inhibitor and an Src inhibitor.

System and method for intermediary-less database management

Disclosed herein is a system and method for enabling creating and managing structured tables on a blockchain thereby facilitating retrieval of data records with standard database operational commands and in a structured manner. Creating structured tables as per a defined schema provides for data storage in a manner which enables easy integration with existing business applications. Further, the system and method provides for storing unstructured data records in a structured manner in the blockchain.

Method and system for identifying at least one nascent topic related to a subject matter

Disclosed is a method and a system for identifying nascent topic related to a subject matter. The method comprises receiving a request associated with a context related to subject matter from a user, analyzing the request to determine at least one topic related to the context, determining an activity factor related to each of the context and the topic from at least one data record related therein, normalizing the activity factor related to each of the topic, analyzing the normalized scores of each of the topic to determine a short-term average and a long-term average normalized score for each of the topic and calculating a difference therein, determining a change in the differences over a specific time period, and identifying the topic associated with a sustained increase in the difference over a predefined time duration within the specific time period as the nascent topic related to the subject matter.

Method and system for managing associations between entity records

A method and system for managing associations between entity records. The method includes: identifying a first plurality of entity records in at least one curated database, associations between the first plurality of entity records based on at least one entity attribute and associations between entity attributes of the first plurality of entity records; extracting data records from existing data sources, wherein the data records comprise entity names and entity attributes associated with the entity names; identifying the entity names, and entity attributes corresponding to each of the entity names in each of the extracted data records; clustering the entity names and corresponding entity attributes to create a second plurality of entity records; and identifying associations between the second plurality of entity records based on the identified associations between the first plurality of entity records and/or identified association between entity attributes of the first plurality of entity ...

System and method for parsing user query

A system and a method for parsing a user query. The system includes a database arrangement operable to store an ontology; and a processing module communicably coupled to the database arrangement. The processing module operable to receive the user query; refine the user query to obtain a search query using an algorithm; generate a plurality of strings for the obtained search query; sort the plurality of strings in a decreasing order of length of the plurality of strings; assign a part-of-speech tag to each of the query segments of the plurality of strings based on the ontology; identify at least one of the query segments as at least one output class or at least one input class based on the assigned part-of-speech tags; and establish semantic associations between the query segments based on the ontology to obtain the parsed user query.

SYSTEMS AND METHOD FOR ELECTRONIC EVALUATION OF RESPONDERS AND NON-RESPONDERS FOR ONE OR MORE DRUGS

A system for an electronic identification of responders and non-responders for one or more drugs, includes a processor to obtain a pre-labeled training dataset from a first database, which includes a first type of input of labeled pretreatment data and a second type of input of labeled post-treatment response data of the plurality of subjects. The processor is configured to pre-process the pre-labeled training data to generate a modified labeled training dataset and train an ensemble machine learning (ML) model from the modified labeled training dataset. The processor is further configured to train a prediction model based on set of features extracted via the ensemble ML model to obtain a trained prediction model to detect whether an unknown subject is a responder or a non-responder for a given drug from the one or more drugs, such as only responders can be given a drug to spare non-responders from unwarranted effects.

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Method and system for extracting information related to product

A method of extracting information related to a product. The method includes receiving web-content aggregated from at least one data source related to a subject matter, wherein the web-content comprises data related to the product associated with the subject matter; analyzing the data to determine at least one snippet of text associated with the product; processing the at least one snippet of text to generate at least one dataset associated with the product, wherein the at least one dataset is stored in a data corpus; analyzing the at least one snippet of text to determine a user perspective related to the product; and extracting the information related to the product by mapping the at least one dataset associated with the product and the user perspective related to the product.

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System and method for interpreting contextual meaning of data

A data processing arrangement is configured to obtain plurality of documents including sentences, analyze sentences of plurality of documents to determine specific domain associated with each of plurality of documents, tokenize sentences in each of plurality of documents to obtain plurality of tokens for each of plurality of documents, determine token coordinates of each of plurality of tokens, and interpret contextual meaning of each of tokens of plurality of tokens for each of plurality of documents.

System and method for identifying potential targets for pharmaceutical compound

A system and method for identifying potential targets for a pharmaceutical compound. The system includes a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and a processing module communicably coupled to database arrangement. The processing module is operable to receive information related to the pharmaceutical compound, wherein the information includes at least one known target associated with the pharmaceutical compound; extract plurality of targets from existing data sources, wherein the existing data sources comprise plurality of data records and wherein each of the plurality of targets is associated with the pharmaceutical compound in at least one data record; analyse druggability of each of plurality of targets to determine a preliminary set of targets; determine net score for each of the targets in preliminary set of targets; and designate targets with a net score above a predefined threshold, as potential targets.

METHOD AND SYSTEM FOR PERFORMANCE EVALUATION OF CLUSTER ALGORITHMS

A method and system for evaluating the performance of the cluster algorithm is provided herein. The method and system obtain a first field and a plurality of records, wherein each of the plurality of records is associated with one or more fields. The method and system further compare the first field with the each of the one or more fields, and compute a first score of similarities based on the comparison The method and system further generate a vector for the first field and one or more vectors for each of the one or more fields, and compare the vector for the first field with each of the one or more vectors. The method and system further identify a first plurality of clusters based on the first score of similarities, and generate a tree-structured graph-based model based on the first plurality of clusters. The method and system further calculate a second score of similarities based on the tree-structured graph-based model.

Method and system for creating entity records using existing data sources

A method and a system for creating entity records. The method includes extracting data records from existing data sources, the data records including entity names and attributes associated therewith; identifying the entity names and attributes corresponding thereto, in each extracted data record; classifying identified entity attributes, based on attribute signatures associated therewith; clustering data records based on similar classified entity attributes and/or similar entity names; comparing entity attributes in clustered data records to identify entity attributes with missing attributes data; assigning representative attributes data to entity attributes with missing attributes data; combining clustered data records to form entity record segments; clustering entity record segments based on similar identity signatures thereof; comparing relevant entity attributes of clustered entity record segments to identify entity record segments having a relation therebetween; and combining related entity record segments to form entity records.

System and method for identifyingt duplicate document submission on a publishing platform

Disclosed is a system and method for efficient comparison of experimental research documents to identify original research work. The system when operated, provides a platform for comparing a user submitted document with documents existing in the platform and documents available in public domain. Further, the system is capable of identifying originality and the similarity of the user submitted documents, in comparison with existing documents, based on a calculated similarity index.

System and method for managing transactional interoperability amongst blockchains

Disclosed is system and method for managing transactional interoperability amongst plurality of blockchains, the plurality of blockchains comprising a non-host blockchain and a host blockchain. The server arrangement is configured to append a first transaction to the non-host blockchain, first transaction comprising metadata pertaining to the user transaction, append a second transaction to the host blockchain, the second transaction comprising the first hash address, wherein second transaction triggers an initial smart contract of the host blockchain to store an operational information response at a second hash address in the distributed file storage system; append a third transaction to non-host blockchain, the third transaction comprising the second hash address, append a fourth transaction in the host blockchain, fourth transaction comprising third hash address, wherein the fourth transaction triggers initial smart contract of the host blockchain to update user wallet account based on output generated from the execution of user transaction.

System and method for parsing user query

A system and a method for parsing a user query. The system includes a database arrangement operable to store an ontology; and a processing module communicably coupled to the database arrangement. The processing module operable to receive the user query; refine the user query to obtain a search query using an algorithm; generate a plurality of strings for the obtained search query; sort the plurality of strings in a decreasing order of length of the plurality of strings; assign a part-of-speech tag to each of the query segments of the plurality of strings based on the ontology; identify at least one of the query segments as at least one output class or at least one input class based on the assigned part-of-speech tags; and establish semantic associations between the query segments based on the ontology to obtain the parsed user query.

System and method for providing recommendations of documents

A system that provides recommendations of documents to a user, the system including a server arrangement, and a database arrangement that stores documents, wherein the server arrangement: receives identification details of the user, obtains prior work associated with the user, determines a user classification of the user based on: the identification details of the user, the prior work associated with the user, and an activity data of the user, determines a document classification for the documents based on a metainformation pertaining to the documents, determines a relevance factor for the documents with respect to the user based on the document classification of the documents, the user classification of the user, and activity data relating to the documents of a plurality of users with similar user classification as the user, and provides recommendations of documents to the user based on relevance factors of the documents.

Method and system for managing primary field-specific entity records required by user

A method and a system for managing primary field-specific entity records required by a user. The method includes developing a structured database to identify field-specific entity records, identifying pairs of field-specific entity records having similar entity attribute in the field segments, designating relations between the identified pairs of field-specific entity records, determining a weightage score of the relations between the pairs of field-specific entity records, determining an importance score of each of the field-specific entity records based on the plurality of entity attributes of the field-specific entity record and relations of the field-specific entity record, receiving a first user-input based on a field specified by the user, identifying the primary field-specific entity records based on the determined weightage scores and the determined importance scores of the field-specific entity records in the field segment associated with the specified field.

System and method for executing service request

Disclosed is system for executing service request. The system comprises a processing arrangement and data sources. The processing arrangement receives the service request and is configured to extract data from the data sources based on the service request. The data sources respond in response to a characteristic framework of the service request. The system further comprises an administrator module to permute the service request received by the processing arrangement in accordance with the characteristic framework employed by the data sources. The administrator module is configured to identify at least one attribute of the service request, obtain data corresponding to the at least one attribute of the service request from the data sources, normalize the obtained data and provide the normalized data to execute the service request, via the processing arrangement.

System and method of managing access to remote digital platforms

Disclosed is a system for managing access to a plurality of remote digital platforms, wherein the system comprising a plurality of platform databases, wherein a given platform database is associated with a given remote digital platform and stores metadata related thereto, the system further comprising: a user device, wherein an existing user generates a user-request, and provides a remote digital platform identifier; an access-control database comprising information relating to roles and permissions associated with a plurality of users; a key-store database comprising private key associated with the plurality of users; and a server arrangement, the server arrangement: identifies a given remote digital platform server; obtains credentials from the existing user and verifies the credentials; determines roles and permissions associated with the existing user; retrieves a private key; verifies the private key with a public key stored at the given remote digital platform server; and enables a data communication network.

Assessment of documents related to drug discovery

Disclosed is a system and method for determining an assessment value of a document related to a current research work of researcher(s) in drug discovery. Information pertaining to the document is processed to identify entities and semantic inter-relationships specific to the current research work. Information indicative of entities and semantic inter-relationships specific to a previous research work of the researcher(s) is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine an association factor indicative of an extent of an association between the current research work and the previous research work of the researcher(s). Information indicative of entities and semantic inter-relationships related to the technical field of the current research work is accessed, and is compared with the entities and the semantic inter-relationships specific to the current research work to determine a status factor indicative of a novelty of the document with respect to the knowledge available publicly. The assessment value of the document is then determined based at least upon the association factor and the status factor. The assessment value may, for example, be determined in a crypto-currency for enabling future transactions of the document using a blockchain.

System and method for identifying at least one association of entity

A method of identifying at least one association of an entity (e.g. in an online search) comprises receiving 102 data related to the entity (e.g. name, identifier, affiliation, geographical location). Related web content is acquired 104 from several data sources using e.g. a web crawler. The web content is filtered 106 to obtain information relating to the entity which is then used with an ontology to identify 108 probable associations of the entity. For each probable association, at least one attribute is determined 110 relating to recency, frequency, proximity, or semantics. A probability score is determined 112 for each of the probable associations based on the attribute, and the highest probability score indicates 114 the association of the entity. A database may store the data related to the entity, the probability score of each of the probable associations of the entity, and the at least one association of the entity.

System and method for parsing user query

A method, system and computer instructions for parsing a user query, the method comprising the steps of receiving the query 202; refining the query with an algorithm to remove unwanted information 204; generating a plurality of strings 206 for example by considering each of the potential combinations of words in the query; sorting the plurality of strings by length 208; assigning part-of-speech tags, such as noun or adjective, to each of the query segments based on an ontology 210; identifying segments which represent input or output classes 212, for example by identifying nouns in the query; and establish semantic associations between query segments to parse the user query 214, for example by considering the order of the query segments. Each query segment may be a single word.

System and method of crawling a wide area computer network for retrieving contextual information

A system and method for crawling a wide area computer network for retrieving contextual information. The system comprises a data processing arrangement comprising a communication interface for accessing the wide area computer network and a web crawling module. The web crawling module is operable to receive an input file including plurality of Uniform Resource Identifiers (URIs) via a user interface, identify accessible URIs from the plurality of accessible URIs, obtain one or more features associated with accessible URIs, and execute an event for crawling the accessible URIs, the event comprises creating resource cluster for executing the event, acquiring electronic record file to be executed by the resource cluster, and crawling the accessible URIs, furthermore, the web crawling module processes the extracted web content to identify contextual data. The system may further comprise a database arrangement communicably coupled to the data processing arrangement to aggregate contextual data therein. The data processing system may include a data storage unit, wherein the data storage unit may store one or more parameters associated with the crawled Uniform Resource Identifiers.

System and method for identifying at least one association of entity

System and method for retrieving data records

Disclosed is a system for retrieving data records from database arrangement based on search query. The database arrangement comprises plurality of data records that are associated with at least one concept. The system comprises ontological databank and processing arrangement. The ontological databank comprises plurality of concept buckets comprising plurality of concepts. The ontological databank is structured using structuring arrangement communicably coupled to ontological databank. The structuring arrangement comprises classification module to classify plurality of concepts, variant module to generate lexical variants of plurality of concepts, and normalization module to determine validity of plurality of concepts and association of new concept with one of plurality of concept buckets. The processing arrangement is operable to receive search query, process search query based on ontological databank, retrieve data records from database arrangement based on processed search query, and provide retrieved data records on computing device.

Method and system for extracting information related to product

A method of extracting information related to a product. The method includes receiving web-content aggregated from at least one data source related to a subject matter, wherein the web-content comprises data related to the product associated with the subject matter; analyzing the data to determine at least one snippet of text associated with the product; processing the at least one snippet of text to generate at least one dataset associated with the product, wherein the at least one dataset is stored in a data corpus; analyzing the at least one snippet of text to determine a user perspective related to the product; and extracting the information related to the product by mapping the at least one dataset associated with the product and the user perspective related to the product.

Method and system for generating parsed document from digital document

A method and system for generating a parsed document from a digital document. The method includes segmenting the digital document into at least one section; classifying the at least one section of the digital document into at least one of a class: text class, table class, figure class, noise class; identifying a reading order of the digital document; and processing each of the at least one section of the digital document. Furthermore, processing each of the at least one section of the digital document comprises extracting content from each of the at least one section based on the class; and structuring the extracted content based on the reading order to generate the parsed document.

Method and system of presenting information related to search

A method and system for presenting information related to a search. A user is operable to perform the search on a computing device using search query. The method includes providing first input area, for receiving the search query from the user, on a first user-interface of the computing device, displaying one or more query segments and relations between the query segments on a second area of the first user-interface, providing an arranged set of extracted search results in a third area of the first user-interface, providing list of one or more concepts associated with the extracted search results in a fourth area of the first user-interface, and providing information, related to a selected search result or a selected concept, on a second user-interface, in response to a selection input, from the user, based on one of a search result or a concept associated with the search results.

Secure document management using blockchain

Disclosed is a secure document management system, for example, for documents pertaining to drug discovery. A document and its metainformation are obtained, and value features are extracted from the document based on identification of concepts associated with the document. An importance score of the document is determined based on the value features and the metainformation. A summarized view of the document is constructed based on the value features, the metainformation, the concepts and the importance score. A unique identifier is generated for the document and associated with the summarized view and the concepts of the document. A search query is processed, and the summarized view of the document is retrieved and displayed based on the query. A request for accessing the document is validated, and document access is allowed when the request is validated successfully. The document management may, for example, be facilitated using a blockchain platform.

Method and system for identifying key terms in digital document

Disclosed is a method and a system for identifying key terms in a digital document. The method comprises providing the digital document and analysing the digital document to identify key terms in the digital document. The digital document includes a first text in a first language. Furthermore, analysing the digital document comprises translating the first text in the first language to obtain a second text in a second language, translating the first text in the first language to obtain a third text in a third language, translating the obtained second text in the second language to obtain a fourth text in the third language, comparing at least one pair of first text, second text, third text and fourth text to identify at least one set of similar text between the compared at least one pair, and processing the set of similar text to obtain key terms in the digital document.

System and method of presenting information related to search query

Disclosed is system for presenting information related to a search query, comprising: a client device configured to receive the search query; a database arrangement; an ontological databank and a server arrangement communicably coupled to the client device and the database arrangement, wherein the server arrangement is configured to: receive the search query, segment the search query into one or more query segments; identify one or more query concepts associated with one or more query segments, wherein each of the one or more query concepts are tagged with a corresponding entity class; determine a data structure for the information related to the search query based on one or more metrics of the relationships of the one or more query concepts, and render, on the client device, the information related to the search query presented in the data structure.

System and method for comparing plurality of documents

Disclosed is a system for comparing a plurality of documents, wherein each of the plurality of documents comprise one or more sentences the system comprises a lexicon ontology represented into multi-dimensional hierarchical space communicably coupled with a server arrangement. The server arrangement is configured to obtain the documents, tokenize, using a tokenizer module, the sentences in each of the documents to obtain a plurality of tokens for each of the documents, determine token coordinates of each of the tokens in the multi-dimensional hierarchical space representing the lexicon ontology, determine sentence coordinates for each of the sentences in the documents using a transmutation module, generate similarity scores for each of the sentences in the documents using a comparison module, and determine a measure of similarity between the documents based on the similarity scores of the sentences in the documents.

System and method for interoperability of blockchains

System and method of managing key entity records

A system of managing key entity records required by a user. The system includes a database arrangement operable to store a structured database including entity records and a processing module communicably coupled to the database arrangement. The processing module is operable to receive the structured database including entity records; determine an importance score for each of the entity records; identify key entity records based on the determined importance scores of the entity records; receive a tuning-input from the user; calculate a tuned importance score for each of the entity records based on the tuning-input from the user; and identify the key entity records required by the user based on the tuned importance scores of the entity records.

Method and system for identifying cancer twin

There is disclosed a system for identifying at least one relevant subject for a cancer patient comprising a server arrangement communicably coupled to a database arrangement comprising a plurality of records and a user device of the cancer patient, wherein the server arrangement is configured to create a profile for the cancer patient by receiving inputs from the user device, map soft and hard attributes of the cancer patient with pre-existing profiles present in the database arrangement, list the at least one relevant subject for the cancer patient, and connect the cancer patient with the listed at least one subject for information sharing purposes.

Method and system for identifying key terms in digital document

System and method of creating entity records

A system that creates entity records, wherein the system includes a computer system. The system includes: a database arrangement operable to store existing data sources and a processing module communicably coupled to the database arrangement. The processing module is operable to receive unstructured data from existing data sources; structure the unstructured data to obtain data-records, wherein the data-records comprise entity names and entity attributes associated with the entity names; bucket data-records into one or more buckets based on similar entity attributes thereof; create intermediate clusters including at least one of the one or more buckets based on a pattern recognition algorithm; calculate a prediction probability score associated with each of the data-records within the intermediate clusters; combine the data-records from the intermediate clusters to obtain an entity-record, wherein the combined data-records include a prediction probability score higher than a predefined threshold.

System and method of creating entity records

Method and system for analysing user activity to determine user-preferred node

System and method for blockchain-based secure data processing

Disclosed herein is a system and method for secure remote data processing between two or more entities over a blockchain. The invention provides for processing of data records within a data structure repository of a smart contract hosted on a blockchain, thereby eliminating the need to transfer the data records to one another, by the entities. The processing is secure and the data records are deleted once the processing is complete.

Determining drug combinations, synergistic drug combination and use thereof in pancreatic cancer treatment

A pharmaceutical composition comprising an effective amount of Dacomitinib as epidermal growth factor receptor (EGFR) inhibitor and a prostaglandin-Endoperoxide Synthase 2 (PTGS2) inhibitor, and one or more pharmaceutically acceptable excipients. A pharmaceutical composition comprising an effective amount of Dacomitinib as epidermal growth factor receptor (EGFR) inhibitor and an Adrenoceptor Beta 2 (ADRB2) inhibitor, and one or more pharmaceutically acceptable excipients. A method of treating pancreatic cancer, the method comprising the step of administering a therapeutically effective amount of the pharmaceutical composition to an individual in need thereof, the pharmaceutical composition comprising an effective amount of Dacomitinib as epidermal growth factor receptor (EGFR) inhibitor with a prostaglandin-Endoperoxide Synthase 2 (PTGS2) inhibitor or an Adrenoceptor Beta 2 (ADRB2) inhibitor, and one or more pharmaceutically acceptable excipients.

System and method of managing key entity records

System and method for name entity disambiguation with latent topic and deep graph analysis

A system for entity disambiguation. The system includes a server arrangement communicably coupled to a database arrangement including a plurality of documents. The server arrangement is configured to generate an entity network by parsing the plurality of documents, determining latent features relating to the plurality of documents and identifying relationships between the latent features and at least one document entity; determine importance score of each of the name entities using centrality algorithms; determine a relevance score of at least one document entity using link analysis algorithms; cluster the name entities based on the relationships therebetween using clustering coefficients; assign a name entity from each cluster of name entities as the person entity; and employ contextual information determined for the entity network to be used in a mathematical model for entity disambiguation.

System and method for restrictive clustering of datapoints

Disclosed is a system for restrictive clustering of datapoints. The system comprises server arrangement that acquires data record for performing clustering operation, determines datapoints for the data record, plots the datapoints in a multi-dimensional space, determines a cluster threshold, and performs a first iteration of clustering on the datapoints plotted in the multi-dimensional space, determines a segment threshold for the datapoints plotted in the multi-dimensional space, derives boundary conditions for determining segments based on the segment threshold and superimposes the boundary conditions corresponding to each of the segments based on the segment threshold onto the first iteration of clustering. Moreover, the server arrangement re-iterates the first iteration of clustering to obtain a second iteration of clustering, wherein the second iteration of clustering has an error value lower than an error value for the first iteration of clustering.

System and method for mapping biomedical entities

A system and method of mapping biomedical entities, wherein each of the biomedical entities belong to one of a predefined class: target, disease, pathway, and drug. The system includes a database arrangement operable to store existing data sources; a processing module communicably coupled to the database arrangement. The processing module operable to receive a user-input of a biomedical entity belonging to one of the predefined classes, wherein the predefined class of the biomedical entity defines an input class; extract a plurality of biomedical entities related to the biomedical entity of the user-input from existing data sources, wherein the plurality of biomedical entities belong to predefined classes except the input class; identify at least one pair of biomedical entities, from the plurality of extracted biomedical entities, having an association therebetween; and map the plurality of biomedical entities to the biomedical entity of the user-input.

Method and system for managing network of field-specific entity records

System and method for mapping biomedical entities

System and method for managing clinical trials data

System and method for managing clinical trials data

A system and method for managing clinical trials data. The system includes a database arrangement operable to store existing data sources and aggregated clinical trial; and a processing module communicably coupled to the database arrangement. The processing module operable to identify a set of clinical trials; extract clinical trials data from existing data sources; classify the clinical trial entries into one or more predefined classes; compare the clinical trial entries in each of the one or more predefined classes, to identify similarity or dissimilarity between the clinical trial entries in a predefined class; compile the first and second aggregated clinical trial entries to obtain class-specific clinical trial entries corresponding to each of the one or more predefined classes; and collate class-specific clinical trial entries corresponding to each of the one or more predefined classes to obtain an aggregated clinical trial.

System and method for generating ontologies for enhanced search

A method of generating an ontology for enhanced search is disclosed that includes an iterative process. The method includes loading seed entities in a memory and using a look-up API to search a first set of similar terms for each seed entity from a web-based database. The first set of similar terms is then clustered based on different concepts to obtain a first cluster of similar terms. The method further includes determining a second set of similar terms for each seed entity based on a category of each seed entity. The second set of similar terms is then clustered based on the different concepts to obtain a second cluster of similar terms. The first and second clusters are merged to generate the ontology of the seed entities. The iterative process is repeated until a saturation point is reached, at which point the generated ontology is considered complete.

Method and system for converting a protein data bank file into a grayscale image array

A system and a method for converting protein data bank (PDB) files into a grayscale image array is provided. The method includes extracting PDB files from a PDB, using a data extraction module. The method also includes converting, using a file conversion module, the PDB files into a data frame based on BioPandas. The method further includes selecting, using a column selection module, one or more columns from the data frame based on a pre-determined criteria. The method furthermore includes converting, using a column conversion module, the selected one or more columns into a NumPy array for rendering the data frame to resemble an image. The method furthermore includes resizing the NumPy array using an OpenCV for making size of the NumPy array uniform and for generating a grayscale image array.

System and method for supervised learning-based prediction and classification on blockchain

Disclosed herein is a system and method for performing on-demand supervised learning-based data analytics directly on blockchain without the need to extract data from the blockchain to an external intermediary platform. The system and method disclosed herein enable supervised learning-based analysis directly on the blockchain, for data records stored on the blockchain. Furthermore, the system and methods disclosed herein allows a training and validation of supervised learning-based algorithms using data records from the transaction blocks of the blockchain without the need of an intermediary platform external to the blockchain.

System and method for electronic identification of biomarkers associated with pathology

A system for electronic identification of one or more biomarkers associated with a pathology. The system includes a processor configured to receive an expression data and utilize a predefined degenerative model to generate a Transcription Factor (TF)-target interaction information based on the received expression data. The processor is configured to execute the predefined degenerative model to generate a Gene Regulatory Network (GRN) based on the TF-target interaction information and construct a hierarchical network defining hierarchical relationships among two or more nodes and one or more edges of the GRN. The processor is configured to prioritize a set of TFs and a set of targets using a Protein-Protein Interaction (PPI) network and construct a modified GRN. The system efficiently and reliably identifies the one or more biomarkers associated with the pathology by use of a combination of the GRN, the hierarchical network and the PPI network.

Method ans system for identifying at least one nascent topic related to a subject matter

Method and system for identifying at least one nascent topic related to a subject matter

Disclosed is a method and a system for identifying nascent topic related to a subject matter. The method comprises receiving a request associated with a context related to subject matter from a user, analyzing the request to determine at least one topic related to the context, determining an activity factor related to each of the context and the topic from at least one data record related therein, normalizing the activity factor related to each of the topic, analyzing the normalized scores of each of the topic to determine a short-term average and a long-term average normalized score for each of the topic and calculating a difference therein, determining a change in the differences over a specific time period, and identifying the topic associated with a sustained increase in the difference over a predefined time duration within the specific time period as the nascent topic related to the subject matter.

System and method for entity normalization and disambiguation

A system and method for entity normalization and disambiguation. The system includes a processor configured to extract entity records pertaining to plurality of entities from one or more data sources; identify connections between the entity records based on common attributes between the entity records; generate a knowledge graph including nodes and edges; determine embeddings of each of the plurality of entity records in a vector space based on meta information and similarities between meta information; determine embeddings of each of the plurality of entity records based on the knowledge graph; determine a proximity score between embeddings of two given entity records in the vector space; and disambiguate the two given entity records using a trained supervised model in an event the proximity score is higher than a predefined threshold.

System and method for identifying potential targets for pharmaceutical compound

A system and method for identifying potential targets for a pharmaceutical compound. The system includes a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and a processing module communicably coupled to database arrangement. The processing module is operable to receive information related to the pharmaceutical compound, wherein the information includes at least one known target associated with the pharmaceutical compound; extract plurality of targets from existing data sources, wherein the existing data sources comprise plurality of data records and wherein each of the plurality of targets is associated with the pharmaceutical compound in at least one data record; analyse druggability of each of plurality of targets to determine a preliminary set of targets; determine net score for each of the targets in preliminary set of targets; and designate targets with a net score above a predefined threshold, as potential targets.

Mapping biomedical entities

An approach is disclosed for mapping biomedical entities, wherein each of the biomedical entities belong to one of a predefined class: target, disease, pathway, and drug. The system comprises a database arrangement operable to store existing data sources; a processing module communicably coupled to the database arrangement. The processing module operable to receive a user-input of a biomedical entity belonging to one of the predefined classes, wherein the predefined class of the biomedical entity defines an input class. Extract a plurality of biomedical entities related to the biomedical entity of the user-input from existing data sources, wherein the plurality of biomedical entities belong to predefined classes except the input class. Identify at least one pair of biomedical entities, from the plurality of extracted biomedical entities, having an association there between and map the plurality of biomedical entities to the biomedical entity of the user-input.

Method and system for token based classification for reducing overlap in field extraction during parsing of a text

A system and a method for token-based classification for reducing overlap in field extraction during parsing of a text is disclosed. The method includes extracting text from a resource. The method further includes splitting one or more sentences into a predetermined number of plurality of tokens. The method furthermore includes generating a plurality of lists using a machine learning model for identifying one or more fields in the text. The plurality of lists comprises at least a list of tokens, a list of tags and a list of confidence scores of tokens. The method furthermore includes post processing the plurality of lists for extracting one or more fields for parsing the text.

Method and system for predicting a binding affinity of protein structures based on deep learning

A system and a method for predicting a binding affinity of protein structures based on deep learning is disclosed. The method includes capturing, using a data capture module, a multi-dimensional structure of a plurality of protein-protein complexes from a protein sequence data set. The method also includes performing featurization, using a featurization module, of the multi-dimensional structure of the plurality of protein-protein complexes by creating an adjacency matrix for successive spherical shells centered around each type of a plurality of amino acid sequences. The method further includes predicting, using a prediction module, a binding affinity from text sequence of the plurality of amino acid sequences using a pre-trained artificial intelligence model based on the adjacency matrix.

Method and system for converting a protein data bank file into a two-dimensional numerical matrix

A system and a method for converting a protein data bank file into a two-dimensional numerical matrix is provided. The method also includes extracting PDB files from a PDB, using a data extraction module. The method further includes analyzing the PDB files using an analysis module for calculating and visualizing interatomic interactions in protein structures. The method further includes generating, using a file generation module, a comma separated values (CSV) file based on the analysis. The method further includes performing a featurization of the CSV file using a featurization module. The method further includes generating, using a matrix generating module, the two-dimensional numerical matrix based on the featurization.

System and method of creating index

A system, that when operated, creates an index for a database arrangement, wherein the system includes a support server and an indexing server communicably coupled to the database arrangement, wherein the support server: receives a document, metadata pertaining to the document, and a document identifier associated with the document; extracts keywords from the document and store the keywords in a meta-document; stores the document identifier corresponding to the metadata in the database arrangement; and provides, to the indexing server, the meta-document and the document identifier; and wherein the indexing server: receives the meta-document and the document identifier from the support server; extracts keywords from the meta-document; and creates the index, wherein the index includes document identifier listed corresponding to the extracted keywords.

System and method for extracting tabular data from electronic document

Disclosed is system for extracting tabular data from electronic document, system having data processing arrangement comprising: tabular data detection module that is operable to: (i) receive electronic document; (ii) determine location of tabular data within electronic document; and (iii) extract image of tabular data from electronic document; and tabular data extraction module that receives extracted image of tabular data from tabular data detection module, wherein tabular data extraction module is operable to: (i) convert received image of tabular data into greyscale image; (ii) extract grid structure from greyscale image; (iii) remove grid structure from greyscale image; (iv) determine position for placement of horizontal and vertical lines in greyscale image; (v) generate horizontal and vertical lines on greyscale image; (vi) perform optical character recognition of text associated with tabular data from received image; and (vii) extract tabular data by combining information of grid structure with text, to generate tabular data.

System and method for extracting tabular data from electronic document

System and method for parsing user query

Method and system for extracting user-specific content

A method and a system for extracting user-specific content. The method is executed by a processing module. Furthermore the method includes providing target data, generating hierarchical data structure of the target data, wherein hierarchical data structure includes one or more segments, determining an importance factor for each of the one or more segments using an algorithm, identifying one or more relevant segments based on the importance factor of each of the one or more segments, and compiling one or more relevant segments to obtain the user-specific content.

System and method for determining and prioritizing a plurality of secondary target protein

The present invention discloses a system and method for determination and prioritization of a plurality of secondary target protein. According to the invention, the present invention ensures the abstraction and authentication of possible scientific data for the primary target protein and introduces a statistical analysis of multiple similarity criteria to determine similar proteins in the form of the plurality of secondary target protein for an input query. Furthermore, the identified plurality of secondary target protein is analysed via matrix and multi-relational directed network analysis to prioritize and depict relationships among similarity concepts. Beneficially, the present invention ensures a high level of coverage and precision to descript protein-protein similarity.

System and method for identifying one or more changes in biological network

A system for identifying one or more changes in a Biological Network, comprising a processor configured to construct a Heterogeneous Biological Network that comprises a plurality of nodes and a plurality of edges. The processor is configured to derive one or more sub-networks from the constructed HBN, and determine an embedding vector for each node of each sub-network. The processor is configured to identify one or more changes in each sub-network by comparing the embedding vector of each node of in a respective sub-network before and after an input action associated with a change in at least one sub-network and determine a plurality of scores for each node of each sub-network based on a pre-defined set of parameters. The processor is configured to identify the one or more changes in the BN based on the determined plurality of scores for each node in each sub-network.

System and method for electronically determining semantic relationship in data items

A method for electronically determining semantic relationship in data items includes extracting an entity and trigger terms associated with the entity from a sentence in the data items associated with a candidate identifier. The method further includes parsing the sentence in the data items to generate a parse tree. The method further includes identifying a node with a specific syntactic function associated with a candidate trigger term in the parse tree. The method further includes executing a search for the entity in the subtree originating at the identified node of the parse tree and then annotating context of the entity based on a presence of the entity in the subtree. The annotated context of the entity is used for determining semantic relationship in the data items to enable context-based search.