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Acta Pharmacologica Sinica (2009) 30: 1694–1708; doi:10.1038/aps.2009.159; published online 23
Nov 2009
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| Original Article | [ Full text ] |
| Pharmacophore-based virtual screening versus docking-based virtual
screening: a benchmark comparison against eight targets
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Zhi CHEN1, Hong-lin LI2,*, Qi-jun ZHANG1, Xiao-guang BAO1, Kun-qian YU1, Xiao-min LUO1, Wei-liang
ZHU1, Hua-liang JIANG1,2,*
1Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China, 2School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China |
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Methods: All virtual screens were performed on two data sets of small molecules with both actives and decoys against eight structurally diverse protein targets, namely angiotensin converting enzyme (ACE), acetylcholinesterase (AChE), androgen receptor (AR), D-alanyl-D-alanine carboxypeptidase (DacA), dihydrofolate reductase (DHFR), estrogen receptors α (ERα), HIV-1 protease (HIV-pr), and thymidine kinase (TK). Each pharmacophore model was constructed based on several X-ray structures of protein-ligand complexes. Virtual screens were performed using four screening standards, the program Catalyst for PBVS and three docking programs (DOCK, GOLD and Glide) for DBVS.
Results: Of the sixteen sets of virtual screens (one target versus two testing databases), the enrichment factors of fourteen cases using the PBVS method were higher than those using DBVS methods. The average hit rates over the eight targets at 2% and 5% of the highest ranks of the entire databases for PBVS are much higher than those for DBVS.
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Keywords:
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