How similar are those molecules after all? Use two descriptors and you will have three different answers

被引:39
作者
Bender, Andreas [1 ]
机构
[1] Univ Cambridge, Dept Chem, Unilever Ctr Mol Sci Informat, Cambridge CB2 1EW, England
关键词
MOLPRINT; 2D; PERFORMANCE; VALIDATION; SHAPE; FINGERPRINTS; ENRICHMENT; DIVERSITY; DATABASES; COMPOUND; BINDING;
D O I
10.1517/17460441.2010.517832
中图分类号
R9 [药学];
学科分类号
100702 [药剂学];
摘要
Areas covered in this review: This review provides a brief overview of current molecular descriptors and databases used for their evaluation, followed by a critical discussion of their differences. What the reader will gain: After reading this review, the reader will be aware of how very differently molecular descriptors assess similarities of molecules, and the performance that can be realistically expected from them. Take home message: Molecular descriptors come in a variety of forms, and they show vast differences in assessing the similarity between molecules. Virtual screening performance of many descriptors is often lower than expected, compared to 'dumb' descriptors while some simple methods such as circular fingerprints offer surprisingly good performance in many cases. The choice of the right benchmark library is crucial, many of which are summarized in this review.
引用
收藏
页码:1141 / 1151
页数:11
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