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Pharmacophore modeling and virtual screening for the discovery of new fatty acid amide hydrolase inhibitors 被引量:1
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作者 Dong-sheng Zhao Hai-yan Wang +2 位作者 Zhi-hui Lian da-xiong han Xin Jin 《Acta Pharmaceutica Sinica B》 SCIE CAS 2011年第1期27-35,共9页
A predictive pharmacophore model has been generated from a series of diverse fatty acid amide hydrolase(FAAH)inhibitors and the optimal pharmacophore model applied in virtual screening.The pharmacophore model was base... A predictive pharmacophore model has been generated from a series of diverse fatty acid amide hydrolase(FAAH)inhibitors and the optimal pharmacophore model applied in virtual screening.The pharmacophore model was based on a training set of 21 compounds carefully selected from the published literatures.The optimal model Hypo-1 included four features(two hydrogen-bond acceptor units,one aromatic hydrophobic unit and one aromatic ring unit)and two excluded volumes.Cross-validation of the model confirmed that Hypo-1 was not generated by chance correlation.A large test set of 55 compounds showed that Hypo-1 performed well in classifying highly active and less active FAAH inhibitors.Superimposition analysis of the FAAH X-ray crystal structure and the pharmacophore Hypo-1 further validated the adequacy of the model.Virtual screening generated a total of 976 hits from the Zinc Natural Products database,a hit rate of 1.04%and enrichment of 83.89.The acceptable hit rate further supports the use of Hypo-1 as a 3D query tool for virtual screening. 展开更多
关键词 FAAH inhibitors PHARMACOPHORE Virtual screening
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