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评估相对结合自由能计算在涉及结合位点水分子置换的测试案例中的预测能力。

Assessing the Predictive Power of Relative Binding Free Energy Calculations for Test Cases Involving Displacement of Binding Site Water Molecules.

机构信息

Molecular Modeling, Department of Pharmaceutical Sciences , University of Basel , Klingelbergstrasse 50 , CH-4056 Basel , Switzerland.

出版信息

J Chem Inf Model. 2019 Feb 25;59(2):754-765. doi: 10.1021/acs.jcim.8b00826. Epub 2019 Jan 29.

DOI:10.1021/acs.jcim.8b00826
PMID:30640456
Abstract

Improved sampling methodologies, more accurate force fields, and access to longer simulation time scales have led to an increased application of Relative Binding Free Energy (RBFE) calculations in drug discovery projects. In order to assess the strengths and limitations of such tools, adequate benchmark sets are required that challenge the methodology in certain well-defined aspects. We applied Free Energy Perturbation (FEP) calculations to six congeneric ligand pairs taken from the literature, in which addition of a functional group resulted in the displacement of buried binding site water molecules and compared the calculated relative binding free energies with the experimental ones. We started the perturbations from different initial solvation states and registered large inconsistencies (large hysteresis) between the calculated values. We furthermore applied a Grand Canonical Monte Carlo (GCMC) solvent sampling step prior to the FEP calculation that led to a smaller hysteresis for the simulations. By applying a hydration site analysis to the trajectories of the end-states of the perturbation, we could point out that the low accuracy of the predictions as well as the high dependence of the prediction on the chosen initial state is likely caused by the trapping of binding site water molecules and/or insufficient solvation of buried cavities that are formed upon completion of the perturbation. This work highlights that RBFE calculations can suffer from slow solvent exchange of buried parts of the binding sites with the bulk.

摘要

改进的采样方法、更精确的力场以及更长的模拟时间尺度,使得相对结合自由能 (RBFE) 计算在药物发现项目中的应用越来越广泛。为了评估这些工具的优缺点,需要有足够的基准数据集,这些数据集在某些明确定义的方面对方法提出挑战。我们应用自由能微扰 (FEP) 计算对文献中六个同类配体对进行了计算,在这些配体对中,添加一个功能基团会导致埋藏的结合位点水分子的位移,并将计算出的相对结合自由能与实验值进行比较。我们从不同的初始溶剂化状态开始进行微扰,并记录到计算值之间存在较大的不一致性(大滞后)。我们还在 FEP 计算之前应用了巨正则蒙特卡罗 (GCMC) 溶剂采样步骤,这使得模拟的滞后性更小。通过对微扰结束状态的轨迹进行水化位点分析,我们可以指出预测的低准确性以及预测对所选初始状态的高度依赖性很可能是由于结合位点水分子的捕获和/或在微扰完成后形成的埋藏腔的不足溶剂化所致。这项工作强调了 RBFE 计算可能会受到埋藏在结合位点中的部分与主体之间的溶剂交换缓慢的影响。

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