School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K.
Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.
J Chem Inf Model. 2022 Mar 28;62(6):1458-1470. doi: 10.1021/acs.jcim.1c01229. Epub 2022 Mar 8.
Accurate and rapid predictions of the binding affinity of a compound to a target are one of the ultimate goals of computer aided drug design. Alchemical approaches to free energy estimations follow the path from an initial state of the system to the final state through alchemical changes of the energy function during a molecular dynamics simulation. Herein, we explore the accuracy and efficiency of two such techniques: relative free energy perturbation (FEP) and multisite lambda dynamics (MSλD). These are applied to a series of inhibitors for the bromodomain-containing protein 4 (BRD4). We demonstrate a procedure for obtaining accurate relative binding free energies using MSλD when dealing with a change in the net charge of the ligand. This resulted in an impressive comparison with experiment, with an average difference of 0.4 ± 0.4 kcal mol. In a benchmarking study for the relative FEP calculations, we found that using 20 lambda windows with 0.5 ns of equilibration and 1 ns of data collection for each window gave the optimal compromise between accuracy and speed. Overall, relative FEP and MSλD predicted binding free energies with comparable accuracy, an average of 0.6 kcal mol for each method. However, MSλD makes predictions for a larger molecular space over a much shorter time scale than relative FEP, with MSλD requiring a factor of 18 times less simulation time for the entire molecule space.
准确快速地预测化合物与靶标的结合亲和力是计算机辅助药物设计的最终目标之一。通过在分子动力学模拟过程中对能量函数进行“炼金术”变化,从系统的初始状态到最终状态,来实现自由能估计的“炼金术”方法。本文探索了两种此类技术的准确性和效率:相对自由能微扰(FEP)和多位点λ动力学(MSλD)。这些方法应用于一系列溴结构域蛋白 4(BRD4)抑制剂。我们展示了一种在处理配体净电荷变化时使用 MSλD 获得准确相对结合自由能的方法。这与实验结果进行了令人印象深刻的比较,平均差异为 0.4 ± 0.4 kcal/mol。在相对 FEP 计算的基准研究中,我们发现使用 20 个 λ 窗口,每个窗口平衡 0.5 ns,收集 1 ns 的数据,在准确性和速度之间取得了最佳折衷。总体而言,相对 FEP 和 MSλD 预测的结合自由能具有相当的准确性,两种方法的平均误差均为 0.6 kcal/mol。然而,MSλD 在比相对 FEP 短得多的时间尺度内对更大的分子空间进行预测,MSλD 对整个分子空间的模拟时间需求仅为相对 FEP 的 18 倍。