A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity

نویسندگان

  • Douglas Jay Klein
  • Hongyao Zhu
  • Jacquelyn Klug-McLeod
  • Gregory A. Bakken
چکیده

A heuristic algorithm was developed to maximize compound diversity within a subset of screening plates used in high throughput screening (HTS) to initiate the drug discovery process. The approach overcame the challenge of combinatorial explosion for selecting plate subsets with maximum compound diversity. The method yielded novel forms of plate-based diversity subsets (PBDS) for HTS screening in lead discovery. The algorithm, its validation and the application to our screening collection are outlined. (doi: 10.5562/cca2301)

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تاریخ انتشار 2013