| 摘要 |
A method and system for obtaining knowledge recommendations. A request with multiple input parameters is received for a desired outcome on a knowledge based decision engine. The knowledge based decision engine includes knowledge derived from one or more input sources processed by a number of pre-determined knowledge creation techniques. An output is generated from the knowledge based decision engine using selected ones from a set of iterative techniques used to process the knowledge into fused knowledge. If the output is appropriate for the desired outcome, a desired outcome with multiple output parameters is created. The method and system are used to select or predict real or virtual drug compounds in a specific domain with the desired features including, absorption, pharmacokinetics, metabolism, toxicity, clinical decision support, etc. It provides fusion of knowledge from multiple data, information and knowledge sources (proprietary and public) which incorporates activity and selectivity against a target, desired pharmacoikinetic and toxicity properties enabling selection of potential pharmaceutical compounds from virtual libraries or compound collectiosn which best fulfil desired "drug like" properties. This may improve the identification, selection, validation and screening of new real or virtual pharmaceutical compounds and may reduce athe attrition rate among new drug candidates accepted for development using knowledge. The methods and system may also be used to provide new bioinformatic techniques for storing and manipulating pharmaceutical knowledge. |
