An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors

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• 作者：Yanmin Zhang ; Shangyan Yang ; Yu Jiao ; Haichun Liu ; Haoliang Yuan ; Shuai Lu ; Ting Ran ; Sihui Yao ; Zhipeng Ke ; Jinxing Xu ; Xiao Xiong ; Yadong Chen ; Tao Lu
• 刊名：Journal of Chemical Information and Modeling
• 出版年：2013
• 出版时间：December 23, 2013
• 年：2013
• 卷：53
• 期：12
• 页码：3163-3177
• 全文大小：797K
• ISSN：1549-960X

文摘

In recent years, various virtual screening (VS) tools have been developed, and many successful screening campaigns have been showcased. However, whether by conventional molecular docking or pharmacophore screening, the selection of virtual hits is based on the ranking of compounds by scoring functions or fit values, which remains the bottleneck of VS due to insufficient accuracy. As the limitations of individual methods persist, a comprehensive comparison and integration of different methods may provide insights into selecting suitable methods for VS. Here, we evaluated the performance of molecular docking, fingerprint-based 2D similarity and multicomplex pharmacophore in an individual and a combined manner, through a retrospective VS study on VEGFR-2 inhibitors. An integrated two-layer workflow was developed and validated through VS of VEGFR-2 inhibitors against the DUD-E database, which demonstrated improved VS performance through a ligand-based method ECFP_4, followed by molecular docking, and then a strict multicomplex pharmacophore. Through a retrospective comparison with six published papers, this integrated approach outperformed 43 out of 45 methods, indicating a great effectiveness. This kind of integrated VS approach can be extended to other targets for the screening and discovery of inhibitors.