Virtual Decoy Sets for Molecular Docking Benchmarks

被引:47
作者
Wallach, Izhar [1 ,2 ]
Lilien, Ryan [1 ,2 ,3 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[2] Univ Toronto, Donnelly Ctr Cellular & Biomol Res, Toronto, ON, Canada
[3] Univ Toronto, Banting & Best Dept Med Res, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
DATABASE; ACCURATE; SYSTEM;
D O I
10.1021/ci100374f
中图分类号
R914 [药物化学];
学科分类号
100705 [微生物与生化药学];
摘要
Virtual docking algorithms are often evaluated on their ability to separate active ligands from decoy molecules. The current state-of-the-art benchmark, the Directory of Useful Decoys (DUD), minimizes bias by including decoys from a library of synthetically feasible molecules that are physically similar yet chemically dissimilar to the active ligands. We show that by ignoring synthetic feasibility, we can compile a benchmark that is comparable to the DUD and less biased with respect to physical similarity.
引用
收藏
页码:196 / 202
页数:7
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