Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 ne

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.