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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Multibasin Quasi-Harmonic Approach for the Calculation of the Configurational Entropy of Small Molecules in Solution
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Multibasin Quasi-Harmonic Approach for the Calculation of the Configurational Entropy of Small Molecules in Solution

机译:溶液中小分子配置熵计算的多陪素准谐波方法

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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~(2) 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.
机译:熵是控制大多数生物分子过程(包括结合)的关键热力学性质。尽管如此,定量测定溶液中单个分子的构型熵仍然是一个巨大的挑战。在这里,我们提出了一种基于聚合分子动力学(MD)模拟分析的计算绝对分子熵的原始方法。我们的方法称为准调和多盆地(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准调和分析(QHA)。最后,利用吉布斯公式计算景观的熵。由于QHA的性质,该方法直接适用于显式溶剂模拟,以获得溶液中的构型熵。与NIST的量热数据相比,QHMB可以预测23个小分子的气相绝对熵,实验中的均方根误差为0.36 kcal/mol。此外,当R~(2)从0.67增加到0.78时,在MM/GBSA计算中引入QHMB校正来解释配体结合时的构型熵损失,可以改善计算和实验结合亲和力之间的相关性。由于这种熵校正会更强烈地惩罚大而灵活的配体,因此可能有助于降低虚拟筛选中的假阳性率。QHMB熵自动计算程序的可用性使其成为药物发现领域的一个新工具。

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