Abstract: Lack of safety and efficacy are the two major unwanted biological responses that play as critical bottlenecks for the success of drug candidates in drug discovery and development. Conventional systems and methods involve ineffective exploration and use of chemical information space and thereby, may fail to address safety and efficacy issues. Embodiments of the present disclosure provides an effective solution to the above bottle-necks with the effective exploration/search of chemical information space using effective statistical techniques that yield meaningful chemical information comprising relevant descriptors, fingerprints, fragments, optimized set of structural images, and the like. Further, it provides robust predictive models for the biological response, example renal toxicity using the selected chemical information in an automated manner for a given experimental data and alerts/rules that can be successfully employed to address failures of drug candidates during discovery and development.

Abstract: An example operation may include one or more of receiving a request for access to data of a user, the request comprising an identification of a requestor and an identification of the data, determining, via a cognitive engine, whether or not to provide access to the data of the user based on context associated with the user, in response to determining to provide access to the data of the user, invoking chaincode which retrieves access to the data of the user from a blockchain and provides the requestor with access to the data of the user, and storing a result of the determination by the cognitive engine via the blockchain.

Abstract: An example operation may include one or more of receiving a request for access to data of a user, the request comprising an identification of a requestor and an identification of the data, determining, via a cognitive engine, whether or not to provide access to the data of the user based on context associated with the user, in response to determining to provide access to the data of the user, invoking chaincode which retrieves access to the data of the user from a blockchain and provides the requestor with access to the data of the user, and storing a result of the determination by the cognitive engine via the blockchain.

Abstract: Lack of safety and efficacy are the two major unwanted biological responses that play as critical bottlenecks for the success of drug candidates in drug discovery and development. Conventional systems and methods involve ineffective exploration and use of chemical information space and thereby, may fail to address safety and efficacy issues. Embodiments of the present disclosure provides an effective solution to the above bottlenecks with the effective exploration/search of chemical information space using effective statistical techniques that yield meaningful chemical information comprising relevant descriptors, fingerprints, fragments, optimized set of structural images, and the like. Further, it provides robust predictive models for the biological response, example renal toxicity using the selected chemical information in an automated manner for a given experimental data and alerts/rules that can be successfully employed to address failures of drug candidates during discovery and development.