Rodriguez-Bussey Isela G, Doshi Urmi, Hamelberg Donald
Department of Chemistry and Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30302-3965.
Biopolymers. 2016 Jan;105(1):35-42. doi: 10.1002/bip.22740.
Computational docking and virtual screening are two main important methods employed in structure-based drug design. Unlike the traditional approach that allows docking of a flexible ligand against a handful of receptor structures, receptor flexibility has now been appreciated and increasingly incorporated in computer-aided docking. Using a diverse set of receptor conformations increases the chances of finding potential drugs and inhibitors. Molecular dynamics (MD) is greatly useful to generate various receptor conformations. However, the diversity of the structures of the receptor, which is usually much larger than the ligand, depends on the sampling efficiency of MD. Enhanced sampling methods based on accelerated molecular dynamics (aMD) can alleviate the sampling limitation of conventional MD and aid in representation of the phase space to a much greater extent. RaMD-db, a variant of aMD that applies boost potential to the rotatable dihedrals and non-bonded diffusive degrees of freedom has been proven to reproduce the equilibrium properties more accurately and efficiently than aMD. Here, we discuss recent advances in the aMD methodology and review the applicability of RaMD-db as an enhanced sampling method. RaMD-db is shown to be able to generate a broad distribution of structures of a drug target, Cyclophilin A. These structures that have never been observed previously in very long conventional MD can be further used for structure-based computer-aided drug discovery, and docking, and thus, in the identification and design of potential novel inhibitors.
计算对接和虚拟筛选是基于结构的药物设计中采用的两种主要重要方法。与传统方法不同,传统方法允许将柔性配体与少数受体结构进行对接,如今受体柔性已得到重视并越来越多地纳入计算机辅助对接中。使用多种受体构象增加了找到潜在药物和抑制剂的机会。分子动力学(MD)对于生成各种受体构象非常有用。然而,受体结构的多样性通常比配体大得多,这取决于MD的采样效率。基于加速分子动力学(aMD)的增强采样方法可以缓解传统MD的采样限制,并在更大程度上有助于相空间的表示。RaMD-db是aMD的一种变体,它将增强势应用于可旋转二面角和非键扩散自由度,已被证明比aMD更准确、更有效地再现平衡性质。在这里,我们讨论了aMD方法的最新进展,并回顾了RaMD-db作为一种增强采样方法的适用性。结果表明,RaMD-db能够生成药物靶点亲环素A的广泛结构分布。这些在非常长的传统MD中从未观察到的结构可进一步用于基于结构的计算机辅助药物发现和对接,从而用于潜在新型抑制剂的鉴定和设计。