Evaluating the Reliability of MM-PB/GB-SA Method for the Protein-Ligand Binding Free Energies Using Penicillopepsin-Inhibitor ligands

Twana Salih
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Abstract

An accurate prediction of the ligand-receptor binding free energies (ΔG) is a critical step in the early stages of rational drug design. The Molecular Mechanics-Generalized Born Surface Area (MM-GBSA) method is a popular   approach to estimate ΔG. However, correlations between the predicted and the experimental ΔG are variable. The goal of this study is to investigate various approaches to optimize accuracy of the MM-GBSA method. A molecular dynamic (MD) simulations protocol was applied using penicillopepsin receptor against its inhibitor ligands, repeated 50 times for each complex system. After that, ΔG of the five inhibitors were predicted using MM-GBSA method. Moreover, a diverse ΔG values were calculated from the replicate MD simulations of each system. The results were showed correlations not only between the predicted and the experimental binding affinities of the systems but also between the predicted values and root-mean-square deviation. In addition, statistical analysis was evaluated the sample size.
评价MM-PB/GB-SA法测定青霉素蛋白酶抑制剂配体蛋白-配体结合自由能的可靠性
准确预测配体-受体结合自由能(ΔG)是合理药物设计早期的关键一步。分子力学-广义出生表面积(MM-GBSA)方法是估计ΔG的常用方法。然而,预测和实验之间的相关性ΔG是可变的。本研究的目的是探讨优化MM-GBSA方法精度的各种方法。应用分子动力学(MD)模拟方案,利用青霉素蛋白酶受体对抗其抑制剂配体,对每个复杂体系重复50次。然后用MM-GBSA法预测5种抑制剂的ΔG。此外,从每个系统的重复MD模拟中计算出不同的ΔG值。结果表明,系统的预测值与实验结合亲和度呈正相关,预测值与均方根偏差也呈正相关。此外,对样本量进行了统计分析评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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