Department of Chemistry, McGill University, 801 Sherbrooke St. W., Montréal, Québec, H3A 0B8, Canada.
School of Computer Science, McGill University, 801 Sherbrooke St. W., Montréal, Québec, H3A 0B8, Canada.
Eur J Med Chem. 2019 Apr 15;168:414-425. doi: 10.1016/j.ejmech.2019.02.046. Epub 2019 Feb 15.
Since the development of the first docking program in 1982, the use of docking-based in silico screening for potentially bioactive molecule discovery has become a common strategy in academia and pharmaceutical industry. Up until recently, application of docking programs has largely focused on drugs binding to proteins. However, with the discovery of promising drug targets in nucleic acids, including RNA riboswitches, DNA G-quadruplexes, and extended repeats in RNA, there has been greater interests in developing drugs for nucleic acids. However, due to major biochemical and physical differences in charges, binding pockets, and solvation, existing docking programs, developed for proteins, face difficulties when adopted directly for nucleic acids. In this review, we cover the current field of in silico docking to nucleic acids, available programs, as well as challenges faced in the field.
自 1982 年第一个对接程序开发以来,基于对接的计算机虚拟筛选在学术界和制药行业中已经成为一种常用的发现潜在生物活性分子的策略。直到最近,对接程序的应用主要集中在药物与蛋白质的结合上。然而,随着核酸中具有前景的药物靶点的发现,包括 RNA 核糖体开关、DNA G-四链体和 RNA 中的延伸重复序列,人们对开发核酸药物产生了更大的兴趣。然而,由于电荷、结合口袋和溶剂化等方面存在重大的生化和物理差异,为蛋白质开发的现有对接程序在直接应用于核酸时面临困难。在这篇综述中,我们涵盖了当前计算机虚拟对接核酸的领域、可用的程序以及该领域面临的挑战。