Forli Stefano
Molecular Graphics Laboratory, Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
Molecules. 2015 Oct 15;20(10):18732-58. doi: 10.3390/molecules201018732.
Docking is commonly applied to drug design efforts, especially high-throughput virtual screenings of small molecules, to identify new compounds that bind to a given target. Despite great advances and successful applications in recent years, a number of issues remain unsolved. Most of the challenges and problems faced when running docking experiments are independent of the specific software used, and can be ascribed to either improper input preparation or to the simplified approaches applied to achieve high-throughput speed. Being aware of approximations and limitations of such methods is essential to prevent errors, deal with misleading results, and increase the success rate of virtual screening campaigns. In this review, best practices and most common issues of docking and virtual screening will be discussed, covering the journey from the design of the virtual experiment to the hit identification.
对接常用于药物设计工作中,尤其是小分子的高通量虚拟筛选,以识别与给定靶点结合的新化合物。尽管近年来取得了巨大进展并成功应用,但仍有一些问题尚未解决。运行对接实验时面临的大多数挑战和问题与所使用的特定软件无关,可归因于输入准备不当或为实现高通量速度而采用的简化方法。了解此类方法的近似性和局限性对于防止错误、处理误导性结果以及提高虚拟筛选活动的成功率至关重要。在本综述中,将讨论对接和虚拟筛选的最佳实践和最常见问题,涵盖从虚拟实验设计到命中物识别的整个过程。