Abstract:
:Molecular docking programs are widely used modeling tools for predicting ligand binding modes and structure based virtual screening. In this study, six molecular docking programs (DOCK, FlexX, GLIDE, ICM, PhDOCK, and Surflex) were evaluated using metrics intended to assess docking pose and virtual screening accuracy. Cognate ligand docking to 68 diverse, high-resolution X-ray complexes revealed that ICM, GLIDE, and Surflex generated ligand poses close to the X-ray conformation more often than the other docking programs. GLIDE and Surflex also outperformed the other docking programs when used for virtual screening, based on mean ROC AUC and ROC enrichment values obtained for the 40 protein targets in the Directory of Useful Decoys (DUD). Further analysis uncovered general trends in accuracy that are specific for particular protein families. Modifying basic parameters in the software was shown to have a significant effect on docking and virtual screening results, suggesting that expert knowledge is critical for optimizing the accuracy of these methods.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Cross JB,Thompson DC,Rai BK,Baber JC,Fan KY,Hu Y,Humblet Cdoi
10.1021/ci900056csubject
Has Abstractpub_date
2009-06-01 00:00:00pages
1455-74issue
6eissn
1549-9596issn
1549-960Xjournal_volume
49pub_type
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