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Combined 3D-QSAR and Molecular Docking Study on benzo[h][1,6]naphthyridin-2(1H)-one Analogs as mTOR Inhibitors

Author(s): B. Wang, M. M. Liu, B. W. Wang, J. Li, M. Shu and Z. H. Lin*
Department of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, 400054, 1Department of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, P. R. China

Correspondence Address:
Department of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, P. R. China, E Mail:

Mechanistic target of rapamycin is involved in the formation of tumor microvasculature was an ideal target for computer-aided drug design. The predictive study of quantitative structure-activity relationship and molecular docking can shorten the cycle and reduce the cost of designing the higher activity mTOR inhibitors. In this article, comparative molecular field analysis and comparative molecular similarity indices analysis fields were used to analyze three-dimensional quantitative structure-activity relationship model. The model (comparative molecular similarity indices analysis with q2=0.607, r2=0.909; comparative molecular similarity indices analysis with q2=0.703, r2=0.935) has a good predictability. Three-dimensional quantitative structure-activity relationship model contour maps indicate the electrostatic, hydrophobic and hydrogen bond donor fields have crucial effects to derivatives biological activity. Molecular docking was employed to explore the conformations of 55 compounds with key amino acid residues. Finally, combining contour maps with molecular docking results, ten derivatives as potential mechanistic target of rapamycin inhibitors were designed to further verify established three-dimensional quantitative structure-activity relationship models. These data provide significant theoretical foundation for designing better activity mechanistic target of rapamycin inhibitors.

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Indian Journal of Pharmaceutical Sciences received 66710 citations as per google scholar report