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小分子的生物多样性——筛选集选择的新视角。

Biodiversity of small molecules--a new perspective in screening set selection.

机构信息

Cheminformatics and Statistics, Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland.

出版信息

Drug Discov Today. 2013 Jul;18(13-14):674-80. doi: 10.1016/j.drudis.2013.02.005. Epub 2013 Feb 20.

Abstract

How is the 'diversity' of a compound set defined and how is the most appropriate compound subset identified for assay when screening the entire HTS deck is not an option? A common approach has so far been to cover as much of the chemical space as possible by screening a chemically diverse set of compounds. We show that, rather than chemical diversity, the biologic diversity of a compound library is an essential requirement for hit identification. We describe a simple and efficient approach for the design of a HTS library based on compound-target diversity. Biodiverse compound subsets outperform chemically diverse libraries regarding hit rate and the total number of unique chemical scaffolds present among hits. Specifically, by screening ~19% of a HTS collection, we expect to discover ~50-80% of all desired bioactive compounds.

摘要

在筛选整个高通量筛选(HTS)库不是一个可行的选择时,如何定义化合物的“多样性”,以及如何确定最合适的化合物子集进行检测?到目前为止,一种常见的方法是通过筛选一组化学多样性的化合物来尽可能多地覆盖化学空间。我们表明,化合物文库的生物多样性而不是化学多样性是识别命中的必要条件。我们描述了一种基于化合物-靶标多样性设计 HTS 文库的简单而有效的方法。在命中率和命中化合物中存在的独特化学支架总数方面,生物多样性的化合物子集优于化学多样性的文库。具体来说,通过筛选 HTS 库的19%,我们预计可以发现50-80%的所有所需生物活性化合物。

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