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3D-QSAR studies on fluoropyrrolidine amides as dipeptidyl peptidase IV inhibitors by CoMFA and CoMSIA
Authors:Juan Zeng  Guixia Liu  Yun Tang  Hualiang Jiang
Affiliation:(1) Laboratory of Molecular Modeling & Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, People’s Republic of China;(2) Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, People’s Republic of China
Abstract:Three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses using CoMFA and CoMSIA methods were conducted on a series of fluoropyrrolidine amides as dipeptidyl peptidase IV (DP-IV) inhibitors. The selected ligands were docked into the binding site of the 3D model of DP-IV using the GOLD software, and the possible interaction models between DP-IV and the inhibitors were obtained. Based on the binding conformations of these fluoropyrrolidine amides and their alignment inside the binding pocket of DP-IV, predictive 3D-QSAR models were established by CoMFA and CoMSIA analyses, which had conventional r 2 and cross-validated coefficient values ($$ r^{2}_{{{text{cv}}}}  $$) up to 0.982 and 0.555 for CoMFA and 0.953 and 0.613 for CoMSIA, respectively. The predictive ability of these models was validated by six compounds that were in the testing set. Structure-based investigations and the final 3D-QSAR results provide the guide for designing new potent inhibitors.
Keywords:CoMFA  CoMSIA  Diabetes mellitus  Dipeptidyl peptidase IV (DP-IV)  3D-QSAR
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