Institute of Structural & Molecular Biology, Research Department of Structural & Molecular Biology, Division of Biosciences , University College London , London WC1E 6BT , United Kingdom.
Centre for Computational Science, Department of Chemistry , University College London , London WC1H 0AJ , United Kingdom.
J Chem Theory Comput. 2019 May 14;15(5):3316-3330. doi: 10.1021/acs.jctc.8b01270. Epub 2019 Apr 26.
Drug-target residence time, the length of time for which a small molecule stays bound to its receptor target, has increasingly become a key property for optimization in drug discovery programs. However, its in silico prediction has proven difficult. Here we describe a method, using atomistic ensemble-based steered molecular dynamics (SMD), to observe the dissociation of ligands from their target G protein-coupled receptor in a time scale suitable for drug discovery. These dissociation simulations accurately, precisely, and reproducibly identify ligand-residue interactions and quantify the change in ligand energy values for both protein and water. The method has been applied to 17 ligands of the A adenosine receptor, all with published experimental kinetic binding data. The residues that interact with the ligand as it dissociates are known experimentally to have an effect on binding affinities and residence times. There is a good correlation ( R = 0.79) between the computationally calculated change in water-ligand interaction energy and experimentally determined residence time. Our results indicate that ensemble-based SMD is a rapid, novel, and accurate semi-empirical method for the determination of drug-target relative residence time.
药物-靶标停留时间,即小分子与受体靶标结合的时间长度,已逐渐成为药物发现计划中优化的关键性质。然而,其在计算机上的预测证明是困难的。在这里,我们描述了一种使用基于原子集合的定向分子动力学(SMD)的方法,以在适合药物发现的时间尺度上观察配体从其靶标 G 蛋白偶联受体上的解离。这些解离模拟准确、精确且可重复地识别配体-残基相互作用,并量化配体能量值在蛋白质和水中的变化。该方法已应用于 17 种 A 腺苷受体配体,所有配体均具有已发表的实验动力学结合数据。实验上已知与配体解离时相互作用的残基会影响结合亲和力和停留时间。计算得出的水-配体相互作用能的变化与实验确定的停留时间之间存在良好的相关性(R=0.79)。我们的结果表明,基于集合的 SMD 是一种快速、新颖且准确的半经验方法,可用于确定药物-靶标相对停留时间。