Variability in docking success rates due to dataset preparation

被引:312
作者
Corbeil, Christopher R. [1 ]
Williams, Christopher I. [1 ]
Labute, Paul [1 ]
机构
[1] Chem Comp Grp, Montreal, PQ H3A 2R7, Canada
关键词
Docking; Scoring; Errors; MOE; GBVI/WSA; PROTEIN-STRUCTURE PREDICTION; SOLVATED INTERACTION ENERGY; CSAR BENCHMARK EXERCISE; WATER-MOLECULES; SCORING FUNCTIONS; ACCURATE DOCKING; LIGANDS; VALIDATION; DYNAMICS; FLEXIBILITY;
D O I
10.1007/s10822-012-9570-1
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The results of cognate docking with the prepared Astex dataset provided by the organizers of the "Docking and Scoring: A Review of Docking Programs" session at the 241st ACS national meeting are presented. The MOE software with the newly developed GBVI/WSA dG scoring function is used throughout the study. For 80 % of the Astex targets, the MOE docker produces a top-scoring pose within 2 a"<< of the X-ray structure. For 91 % of the targets a pose within 2 a"<< of the X-ray structure is produced in the top 30 poses. Docking failures, defined as cases where the top scoring pose is greater than 2 a"<< from the experimental structure, are shown to be largely due to the absence of bound waters in the source dataset, highlighting the need to include these and other crucial information in future standardized sets. Docking success is shown to depend heavily on data preparation. A "dataset preparation" error of 0.5 kcal/mol is shown to cause fluctuations of over 20 % in docking success rates.
引用
收藏
页码:775 / 786
页数:12
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