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Abstract

A method and system for creating and using knowledge patterns. One or more patterns derived from one or more pharmaceutical data sources are acquired. A knowledge map is created using the one or more patterns. The knowledge map, such as a self-organizing knowledge map, includes a selected representation of a pattern space. A set of selected regions from the knowledge map are annotated. Others patterns are classified with annotated regions of the knowledge map, thereby adding additional knowledge to the knowledge map. The knowledge map is used for recognizing previously unseen or unknown patterns from large amounts of pharmaceutical data obtained by automated screening systems. The knowledge map includes knowledge for a new real or virtual drug compounds or drug therapies. The knowledge patterns may be used to select new known pharmaceutical compounds, or model new virtual pharmaceutical compounds. The method and system described herein may be used to locate and describe previously unrecognized patterns of biological or chemical activity concealed with in a selected range of drug discovery data. This may improve the identification, selection, validation and screening of new real or virtual pharmaceutical compounds. The method and system may also be used to provide new bioinformatic techniques for storing and manipulating pharmaceutical knowledge.

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First Claim