Critical assessment of the automated AutoDock as a new docking tool for virtual screening

被引:166
作者
Park, Hwangseo [1 ]
Lee, Jinuk
Lee, Sangyoub
机构
[1] Sejong Univ, Dept Biosci & Biotechnol, Seoul 143747, South Korea
[2] Seoul Natl Univ, Dept Chem, Seoul 151747, South Korea
关键词
virtual screening; drug discovery; docking; AutoDock; chemical database; automation;
D O I
10.1002/prot.21183
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
A major problem in virtual screening concerns the accuracy of the binding free energy between a target protein and a putative ligand. Here we report an example supporting the outperformance of the AutoDock scoring firnction in virtual screening in comparison to the other popular docking programs. The original AutoDock program is in itself inefficient to be used in virtual screening because the grids of interaction energy have to be calculated for each putative ligand in chemical database. However, the automation of the AutoDock program with the potential grids defined in common for all putative ligands leads to more than twofold increase in the speed of virtual database screening. The utility of the automated AutoDock in virtual screening is further demonstrated by identifying the actual inhibitors of various target enzymes in chemical databases with accuracy higher than the other docking tools including DOCK and F'IexY- These results exemplify the usefulness of the automated AutoDock as a new promising tool in structure-based virtual screening.
引用
收藏
页码:549 / 554
页数:6
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