Kontoyianni Maria, Madhav Prakash, Suchanek Eric, Seibel William
Procter & Gamble Pharmaceuticals Inc., 8700 Mason Montgomery Road, Mason, OH 45040, USA.
Curr Med Chem. 2008;15(2):107-16. doi: 10.2174/092986708783330566.
In this review, several aspects of virtual screening are presented. Although, docking and scoring have been the most widely employed techniques, ligand-based virtual screening has also gained momentum in recent years. We have classified the docking programs into four categories, based on their underline theories, and accordingly describe the most up-to-date algorithms and newest versions. Similarly, three categories of scoring functions are presented, while their weighting schemes on particular binding terms are discussed. The latter is important, since knowledge of the function can be used to select the ones that could be more appropriate for targets of similar nature. Challenging aspects, such as protein flexibility and practices to select the most appropriate docking/scoring schemes, are also discussed. Finally, a real-life example is presented where a pharmacophore-driven approach combined with a docking exercise were undertaken in an iterative manner to successfully enhance the virtual screening hit rates. In the end, we present our own perspective for best practices in the field based on our experiences.
在本综述中,介绍了虚拟筛选的几个方面。尽管对接和评分一直是应用最广泛的技术,但基于配体的虚拟筛选近年来也得到了发展。我们根据对接程序的基础理论将其分为四类,并相应地描述了最新的算法和最新版本。同样,介绍了三类评分函数,并讨论了它们在特定结合项上的加权方案。后者很重要,因为了解该函数可用于选择更适合类似性质靶点的函数。还讨论了一些具有挑战性的方面,如蛋白质灵活性以及选择最合适对接/评分方案的方法。最后,给出了一个实际例子,其中以迭代方式采用药效团驱动方法与对接操作相结合,成功提高了虚拟筛选命中率。最后,我们根据自身经验提出了我们对该领域最佳实践的看法。