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The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction

机译:内部介电常数和熵变对HIV-1复合物结合自由能预测的影响

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摘要

At present, the calculated binding free energy obtained using the molecular mechanics/Poisson-Boltzmann (Generalized-Born) surface area (MM/PB(GB)SA) method is overestimated due to the lack of knowledge of suitable interior dielectric constants in the simulation on the interaction of Human Immunodeficiency Virus (HIV-1) protease systems with inhibitors. Therefore, the impact of different values of the interior dielectric constant and the entropic contribution when using the MM/PB(GB)SA method to calculate the binding free energy was systemically evaluated. Our results show that the use of higher interior dielectric constants (1.4–2.0) can clearly improve the predictive accuracy of the MM/PBSA and MM/GBSA methods, and computational errors are significantly reduced by including the effects of electronic polarization and using a new highly efficient interaction entropy (IE) method to calculate the entropic contribution. The suitable range for the interior dielectric constant is 1.4–1.6 for the MM/PBSA method; within this range, the correlation coefficient fluctuates around 0.84, and the mean absolute error fluctuates around 2 kcal/mol. Similarly, an interior dielectric constant of 1.8–2.0 produces a correlation coefficient of approximately 0.76 when using the MM/GBSA method. In addition, the entropic contribution of each individual residue was further calculated using the IE method to predict hot-spot residues, and the detailed binding mechanisms underlying the interactions of the HIV-1 protease, its inhibitors, and bridging water molecules were investigated. In this study, the use of a higher interior dielectric constant and the IE method can improve the calculation accuracy of the HIV-1 system.
机译:目前,由于在模拟中缺乏合适的内部介电常数的知识,因此高估了使用分子力学/泊松玻尔兹曼(广义玻恩)表面积(MM / PB(GB)SA)方法获得的计算结合自由能人免疫缺陷病毒(HIV-1)蛋白酶系统与抑制剂的相互作用研究。因此,系统地评估了使用MM / PB(GB)SA方法计算结合自由能时不同的内部介电常数和熵贡献值的影响。我们的结果表明,使用较高的内部介电常数(1.4–2.0)可以明显提高MM / PBSA和MM / GBSA方法的预测精度,并且通过包括电子极化的影响和使用新的方法可以显着降低计算误差。高效的相互作用熵(IE)方法来计算熵的贡献。对于MM / PBSA方法,内部介电常数的合适范围是1.4-1.6。在此范围内,相关系数在0.84左右波动,平均绝对误差在2kkcal / mol左右波动。同样,当使用MM / GBSA方法时,内部介电常数为1.8-2.0时,相关系数约为0.76。另外,使用IE方法进一步计算每个残基的熵贡献以预测热点残基,并研究了HIV-1蛋白酶,其抑制剂和桥联水分子相互作用的详细结合机制。在这项研究中,使用较高的内部介电常数和IE方法可以提高HIV-1系统的计算精度。

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