FRED Pose Prediction and Virtual Screening Accuracy

被引:593
作者
McGann, Mark [1 ]
机构
[1] OpenEye Sci Software, Santa Fe, NM 87508 USA
关键词
PROTEIN-LIGAND INTERACTIONS; MOLECULAR DOCKING; SCORING FUNCTIONS; PERFORMANCE;
D O I
10.1021/ci100436p
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Results of a previous docking study are reanalyzed and extended to include results from the docking program FRED and a detailed statistical analysis of both structure reproduction and virtual screening results. FRED is run both in a traditional docking mode and in a hybrid mode that makes use of the structure of a bound ligand in addition to the protein structure to screen molecules. This analysis shows that most docking programs are effective overall but highly inconsistent, tending to do well on one system and poorly on the next Comparing methods, the difference in mean performance on DUD is found to be statistically significant (95% confidence) 61% of the time when using a global enrichment metric (AUC). Early enrichment metrics are found to have relatively poor statistical power, with 0.5% early enrichment only able to distinguish methods to 95% confidence 14% of the time.
引用
收藏
页码:578 / 596
页数:19
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