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Critical assessment of the automated AutoDock as a new docking tool for virtual screening
Author(s) -
Park Hwangseo,
Lee Jinuk,
Lee Sangyoub
Publication year - 2006
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.21183
Subject(s) - autodock , virtual screening , dock , computer science , docking (animal) , protein–ligand docking , in silico , bioinformatics , drug discovery , chemistry , biology , medicine , nursing , gene , biochemistry
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 function 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 FlexX. These results exemplify the usefulness of the automated AutoDock as a new promising tool in structure‐based virtual screening. Proteins 2006. © 2006 Wiley‐Liss, Inc.