Using extended-connectivity fingerprints with Laplacian-modified Bayesian analysis in high-throughput screening follow-up

被引:223
作者
Rogers, D [1 ]
Brown, RD [1 ]
Hahn, M [1 ]
机构
[1] SciTeg Inc, San Diego, CA 92123 USA
关键词
extended-connectivity fingerprints; Laplacian-modified Bayesian analysis; high-throughput screening; computational methods;
D O I
10.1177/1087057105281365
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This article describes the use of a combination of extended-connectivity fingerprints (ECFPs) and Laplacian-modified Bayesian analysis in a study of the inhibition of Escherichia coli dihydrofolate, reductase. The McMaster High-Throughput Z, Screening Lab at McMaster University proposed a competition to predict the hits in a separate test set of 50,000 compounds. Although the problem seemed best approached with 3D methods, the authors show that 2D methods offer surprisingly competitive results with a low computational cost.
引用
收藏
页码:682 / 686
页数:5
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