Comparative evaluation of eight docking tools for docking and virtual screening accuracy 论文

2004Proteins Structure Function and Bioinformatics引用 569
Computational Drug Discovery MethodsEnzyme Structure and FunctionProtein Structure and Dynamics

详细信息

发表期刊/会议
Proteins Structure Function and Bioinformatics
发表日期
2004-08-10
发表年份
2004

关键词

Computational Drug Discovery MethodsEnzyme Structure and FunctionProtein Structure and Dynamics

摘要

Eight docking programs (DOCK, FLEXX, FRED, GLIDE, GOLD, SLIDE, SURFLEX, and QXP) that can be used for either single-ligand docking or database screening have been compared for their propensity to recover the X-ray pose of 100 small-molecular-weight ligands, and for their capacity to discriminate known inhibitors of an enzyme (thymidine kinase) from randomly chosen "drug-like" molecules. Interestingly, both properties are found to be correlated, since the tools showing the best docking accuracy (GLIDE, GOLD, and SURFLEX) are also the most successful in ranking known inhibitors in a virtual screening experiment. Moreover, the current study pinpoints some physicochemical descriptors of either the ligand or its cognate protein-binding site that generally lead to docking/scoring inaccuracies.