Effect of Protein-Polarized Ligand Charges on Relative Protein Ligand Binding Affinities

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Suliman Adam, Itamar Kass, Dana Krepel-Zussman, Gal Masarati, Dorit Shemesh and Avital Sharir-Ivry*, 
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Abstract

A major challenge in computer-aided drug design is predicting relative binding energies of different molecules to a target protein using fast and accurate free-energy calculation methods. Free-energy calculations are primarily computed by utilizing classical molecular dynamics simulations based on all-atom force fields (FF) to model the interactions in the system. The present standard classical all-atom FFs contain fixed partial charges on the atoms, and hence electrostatic interactions are modeled between them. The parametrization process to determine these partial charges usually relies on quantum mechanics or semiempirical calculations of the molecule in the gas phase or homogeneous water surrounding. These present standard parametrization schemes of the partial charges neglect, therefore, polarization effects from the protein surrounding. The absence of protein polarization effects can lead to significant errors in free-energy calculations in proteins. We present a parametrization scheme for the partial charges of ligands, named protein-induced polarization (PIP) charges, which account for the electrostatic polarization due to the protein surrounding. The scheme involves single-point quantum mechanics/molecular mechanics calculations of the ligand charges in the protein/water surrounding. Using PIP ligand partial charges, we have calculated the relative binding free energies (RBFEs) of well-studied protein−ligand systems. We show here that RBFEs computed with PIP charges are either significantly improved or at least comparable to those computed with nonpolarized standard GAFF charges. Overall, we present a simple-to-use parametrization scheme to include protein polarization in any type of binding free-energy calculations. The parametrization scheme increases the accuracy in RBFE calculations, while it does not add significant computation time to standard parametrization procedures.

Abstract Image

蛋白质极化配体电荷对相对蛋白质配体结合亲和力的影响
计算机辅助药物设计的一大挑战是利用快速准确的自由能计算方法预测不同分子与目标蛋白质的相对结合能。自由能计算主要是利用基于全原子力场(FF)的经典分子动力学模拟来模拟系统中的相互作用。目前标准的经典全原子力场包含原子上的固定部分电荷,因此它们之间的静电相互作用被模拟出来。确定这些部分电荷的参数化过程通常依赖于气相或均相水环境中分子的量子力学或半经验计算。因此,这些标准的偏电荷参数化方案忽略了蛋白质周围的极化效应。蛋白质极化效应的缺失会导致蛋白质自由能计算出现重大误差。我们提出了一种配体部分电荷的参数化方案,称为蛋白质诱导极化(PIP)电荷,它考虑了蛋白质周围的静电极化。该方案涉及蛋白质/水周围配体电荷的单点量子力学/分子力学计算。利用 PIP 配体部分电荷,我们计算出了经过充分研究的蛋白质配体系统的相对结合自由能(RBFE)。我们在此表明,使用 PIP 电荷计算出的相对结合自由能有显著提高,或者至少与使用非极化标准 GAFF 电荷计算出的相对结合自由能相当。总之,我们提出了一种简单易用的参数化方案,可将蛋白质极化纳入任何类型的结合自由能计算中。该参数化方案提高了 RBFE 计算的准确性,同时也不会给标准参数化程序增加大量计算时间。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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