The partitioning'/> Efficient Strategy for the Calculation of Solvation Free Energies in Water and Chloroform at the Quantum Mechanical/Molecular Mechanical Level
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Efficient Strategy for the Calculation of Solvation Free Energies in Water and Chloroform at the Quantum Mechanical/Molecular Mechanical Level

机译:量子机械/分子机械水平在水和氯仿中计算溶剂化的有效策略

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The partitioning of solute molecules between immiscible solvents with significantly different polarities is of great importance. The polarization between the solute and solvent molecules plays an essential role in determining the solubility of the solute, which makes computational studies utilizing molecular mechanics (MM) rather difficult. In contrast, quantum mechanics (QM) can provide more reliable predictions. In this work, the partition coefficients of the side chain analogs of some amino acids between water and chloroform were computed. The QM solvation free energies were calculated indirectly via a series of MM states using the multistate Bennett acceptance ratio (MBAR) and the MM-to-QM corrections were applied at the two endpoints using thermodynamic perturbation (TP). Previously, it has been shown (Jia et al. J. Chem. Theory Comput. 2016, 12, 499–511) that this method provides the minimal variance in the results without running QM simulations. However, if there is insufficient overlap in phase space between the MM and QM Hamiltonians, this method fails. In this work, we propose, for the first time, a quantity termed the reweighting entropy that serves as a metric for the reliability of the TP calculations. If the reweighting entropy is below a certain threshold (0.65 for the solvation free energy calculations in this work), this MM-to-QM correction should be avoided and two alternative methods can be employed by either introducing a semiempirical state or conducting nonequilibrium simulations. However, the results show that the QM methods are not guaranteed to yield better results than the MM methods. Further improvement of the QM methods are imperative, especially the treatment of the van der Waals and the electrostatic interactions between the QM reg
机译:<![cdata [ src ='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jcisd8/2017/jcisd8.2017.57.issue-10/acs.jcim.7b00001/ 20171018 / Images / Medium / CI-2017-00001Z_0003.gif“>溶质分子与显着不同极性显着不同的溶剂之间的分区非常重要。溶质和溶剂分子之间的偏振在确定溶质的溶解度方面发挥着重要作用,这使得利用分子力学(MM)相当困难的计算研究。相比之下,量子力学(QM)可以提供更可靠的预测。在这项工作中,计算了水和氯仿之间的一些氨基酸的侧链类似物的分区系数。使用多态Bennett接受比(MBar)间接通过一系列MM状态间接计算QM溶剂化的能量,并且使用热力学扰动(TP)在两个端点处施加MM-TO-QM校正。以前,已经显示出(jia等人。 j。化学。理论计算。 2016 , 12 ,499-511)这方法在不运行QM仿真的情况下提供结果的最小方差。但是,如果MM和QM Hamiltonians之间的相位空间中的相位空间不足,则此方法失败。在这项工作中,我们首次提出了一定数量,该数量被称为重新重量熵,该熵是用于TP计算的可靠性的度量。如果重新重量熵低于某个阈值(在该工作中为溶剂化自由能量计算0.65),则应避免这种MM-TO-QM校正,并且可以通过引入半级状态或导电非纤维模拟来采用两种替代方法。然而,结果表明,QM方法不保证比MM方法产生更好的结果。进一步改善QM方法是必要的,特别是van der Wa的处理和QM reg之间的静电相互作用

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    State Key Laboratory of Precision Spectroscopy School of Physics and Materials Science East China Normal University Shanghai 200062 China;

    State Key Laboratory of Precision Spectroscopy School of Physics and Materials Science East China Normal University Shanghai 200062 China;

    State Key Laboratory of Precision Spectroscopy School of Physics and Materials Science East China Normal University Shanghai 200062 China;

    State Key Laboratory of Precision Spectroscopy School of Physics and Materials Science East China Normal University Shanghai 200062 China;

    Q-Chem Inc. 6601 Owens Drive Suite 105 Pleasanton California 94588 United States;

    The Computer Center School of Computer Science and Software Engineering East China Normal University Shanghai 200062 China;

    The Computer Center School of Computer Science and Software Engineering East China Normal University Shanghai 200062 China;

    Laboratory of Computational Biology National Institutes of Health National Heart Lung and Blood Institute 5635 Fishers Lane T-900 Suite Rockville Maryland 20852 United States;

    State Key Laboratory of Precision Spectroscopy School of Physics and Materials Science East China Normal University Shanghai 200062 China;

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  • 中图分类 化学;化学工业;
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