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Substructural Analysis in Drug Discovery

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The dominant paradigm in drug discovery emphasizes techniques that generate large amounts of data. What was possible by simple inspection in the past, nowadays cannot be effectively achieved without the aid of informatics techniques. In this context substructural analysis techniques are increasing their role in the organization and management of information generated. Advances in the field of substructure analysis have expanded the applicability of substructural analysis in multiple fronts in early lead discovery and optimization. It can be applied beyond the management of information, including compound library design and virtual screening to structure activity relationships. The relationships between chemical substructures and drug-like properties also aid in developing more robust rationales for fragment-based approaches for lead discovery, predictive toxicology, and elucidation of pharmacokinetic properties.A review of recent developments in substructure analysis in a broad range of areas in drug discovery is presented. The focus is on the application of substructural analysis in computational chemistry for drug design and the methods used to identify substructures in a chemical database, as well as their relation to fragment-based drug discovery. The discussion shows the benefits of substructural analysis to the drug discovery process and gives impetus to further advancement of substructure analysis techniques.





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Keywords: Substructure analysis; chemical data management; chemoinformatics; data mining; fragment-based discovery; maximum common substructure

Document Type: Research Article

Affiliations: Altoris, Inc., 11575 Sorrento Valley Rd., San Diego, CA 92121, USA.

Publication date: March 1, 2007

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  • Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, etc., providing excellent rationales for drug development.
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