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多盆地准谐方法计算溶液中小分子的构象熵。

Multibasin Quasi-Harmonic Approach for the Calculation of the Configurational Entropy of Small Molecules in Solution.

机构信息

Laboratoire d'Ingénierie des Fonctions Moléculaires, UMR7177, Université de Strasbourg, 4 rue Blaise Pascal, Strasbourg 67000, France.

出版信息

J Chem Theory Comput. 2021 Feb 9;17(2):1133-1142. doi: 10.1021/acs.jctc.0c00978. Epub 2021 Jan 7.

Abstract

Entropy is a key thermodynamic property governing most biomolecular processes, including binding. Nonetheless, quantification of the configurational entropy of a single molecule in solution remains a grand challenge. Here, we present an original approach for the calculation of absolute molecular entropies based on the analysis of converged molecular dynamics (MD) simulations. Our method, named quasi-harmonic multibasin (QHMB), relies on a multibasin decomposition of the simulated trajectory by root-mean-square deviation clustering and subsequent quasi-harmonic analysis (QHA) of extracted sub-trajectories. Last, the entropy of the landscape is evaluated using the Gibbs formula. Because of the nature of QHA, this method is directly applicable to explicit-solvent simulations to access configurational entropies in solution. When compared with calorimetric data from NIST, QHMB is shown to predict absolute entropies in the gas phase for 23 small molecules with a root-mean-squared error of 0.36 kcal/mol from the experiments. In addition, the introduction of a QHMB correction in MM/GBSA calculations to account for the ligand configurational entropy loss on binding is shown to improve the correlation between calculated and experimental binding affinities with R increasing from 0.67 to 0.78. Because this entropy correction penalizes large and flexible ligands more strongly, it might be useful to reduce the false-positive rate in virtual screening. The availability of an automatic procedure to compute QHMB entropies makes it a new available tool in the field of drug discovery.

摘要

熵是支配大多数生物分子过程的关键热力学性质,包括结合。然而,在溶液中单分子构象熵的定量仍然是一个巨大的挑战。在这里,我们提出了一种基于收敛分子动力学 (MD) 模拟分析的绝对分子熵计算的原始方法。我们的方法称为拟谐多盆地 (QHMB),它依赖于通过均方根偏差聚类对模拟轨迹进行多盆地分解,然后对提取的子轨迹进行拟谐分析 (QHA)。最后,使用吉布斯公式评估景观的熵。由于 QHA 的性质,该方法可直接应用于显式溶剂模拟,以获取溶液中的构象熵。与 NIST 的量热数据相比,QHMB 被证明可以预测 23 个小分子在气相中的绝对熵,与实验相比,均方根误差为 0.36 kcal/mol。此外,在 MM/GBSA 计算中引入 QHMB 校正以考虑配体构象熵在结合时的损失,这表明计算和实验结合亲和力之间的相关性得到了改善,R 值从 0.67 增加到 0.78。由于这种熵校正更强烈地惩罚大而灵活的配体,因此它可能有助于降低虚拟筛选中的假阳性率。自动计算 QHMB 熵的程序的可用性使其成为药物发现领域的一种新工具。

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