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Statistical design and application to combinatorial chemistry

Authors
Journal
Drug Discovery Today
1359-6446
Publisher
Elsevier
Publication Date
Volume
7
Issue
2
Identifiers
DOI: 10.1016/s1359-6446(01)02093-1
Keywords
  • Combinatorial Chemistry
Disciplines
  • Chemistry
  • Computer Science
  • Design

Abstract

Abstract Combinatorial chemistry has matured from its early production-belt image of synthesizing the maximum number of compounds in the minimum amount of time. It is now a discovery technology driven by good experimental design, with a focus on producing high numbers of quality drug-like compounds. Complex statistical and optimization algorithms are routinely applied to ensure that the library is designed with the best chance of achieving its goals, while also facilitating efficient synthesis.

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