Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
Mini Rev Med Chem. 2020;20(14):1322-1340. doi: 10.2174/1389557520666200204121129.
The increasing number of computational studies in medicinal chemistry involving molecular docking has put the technique forward as promising in Computer-Aided Drug Design. Considering the main method in the virtual screening based on the structure, consensus analysis of docking has been applied in several studies to overcome limitations of algorithms of different programs and mainly to increase the reliability of the results and reduce the number of false positives. However, some consensus scoring strategies are difficult to apply and, in some cases, are not reliable due to the small number of datasets tested. Thus, for such a methodology to be successful, it is necessary to understand why, when and how to use consensus docking. Therefore, the present study aims to present different approaches to docking consensus, applications, and several scoring strategies that have been successful and can be applied in future studies.
随着计算化学在药物化学领域的研究不断增加,分子对接技术已成为计算机辅助药物设计中很有前途的方法。考虑到基于结构的虚拟筛选的主要方法,对接共识分析已在多项研究中得到应用,以克服不同程序算法的局限性,主要是为了提高结果的可靠性并减少假阳性的数量。然而,一些共识评分策略难以应用,并且在某些情况下由于测试数据集的数量较少而不可靠。因此,为了使这种方法成功,有必要了解何时、如何使用共识对接。因此,本研究旨在介绍不同的对接共识方法、应用以及几种已经成功的评分策略,并可应用于未来的研究。