Chemical information management in drug discovery: optimizing the computational and combinatorial chemistry interfaces. Academic Article uri icon

start page

  • 512

end page

  • 24, 541

abstract

  • Structure-property relationships, central to many of today's drug discovery strategies, are not straightforward to deal with when trying to predict drug efficacy, that is, the combined outcome of target affinity, pharmacodynamic behavior, pharmacokinetic properties, and metabolic fate. In this article, we discuss the handling of chemical property information in reagents-for-synthesis selection, enumeration, and virtual library construction. We describe the use of diversity assessment and/or experimental design in selection of compound-libraries-to-be-synthesized. Our overall objective was to identify good-quality drug candidates through reliable structure-activity relationship data, with the minimum number of compounds synthesized and tested. Chemical filters, property filters, scoring functions, and utilization of interactive visualization tools are discussed. The concept of chemical diversity and aspects of chemical space navigation employing a proprietary tool, Chemical Global Positioning System (ChemGPS), for mapping the drug-related chemical space are examined. Guidelines and workflow recommendations for the practicing medicinal chemist are proposed.

PubMed Identifier

  • 11143566

volume

  • 18

number

  • 4-5

keywords

  • Combinatorial Chemistry Techniques
  • Computer Graphics
  • Drug Design
  • Indicators and Reagents
  • Information Systems
  • Models, Chemical
  • Structure-Activity Relationship
  • User-Computer Interface