Improving pKa Predictions with Reparameterized Force Fields and Free Energy Calculations.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Journal of Chemical Theory and Computation Pub Date : 2025-04-22 Epub Date: 2025-04-02 DOI:10.1021/acs.jctc.5c00031
Carter J Wilson, Vytautas Gapsys, Bert L de Groot
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引用次数: 0

Abstract

Given the growing interest in designing targeted covalent inhibitors, methods for rapidly and accurately probing pKas─and, by extension, the reactivities─of target cysteines are highly desirable. Complementary to cysteine, histidine is similarly relevant due to its frequent presence in protein active sites and its unique ability to exist in two tautomeric states. Here, we demonstrate that nonequilibrium free energy calculations can accurately determine the pKa values of both residues, often outperforming conventional predictors. Importantly, we find that (1) increasing the van der Waals radius of cysteine's sulfur atom, (2) modifying the backbone charges of histidine, and (3) introducing effective polarization by downscaling the side chain partial charges of both residues can all significantly improve pKa prediction accuracy. Using the modified CHARMM36m force field on the full dataset reduces the prediction error from 2.12 ± 0.27 pK to 1.28 ± 0.15 pK and increases the correlation with experiment from 0.25 ± 0.09 to 0.58 ± 0.08. Similarly, using the modified Amber14SB force field decreases the error from 3.21 ± 0.29 pK to 1.69 ± 0.23 pK and improves the correlation from 0.15 ± 0.10 to 0.36 ± 0.10.

用重参数化力场和自由能计算改进pKa预测。
鉴于人们对设计靶向共价抑制剂的兴趣日益浓厚,快速准确地探测pka──以及由此延伸到靶半胱氨酸的反应性──的方法是非常需要的。组氨酸与半胱氨酸互补,由于其经常存在于蛋白质活性位点,并且具有以两种互变异构体状态存在的独特能力,因此与半胱氨酸相似。在这里,我们证明了非平衡自由能计算可以准确地确定两个残留物的pKa值,通常优于传统的预测方法。重要的是,我们发现(1)增加半胱氨酸硫原子的范德华半径,(2)修饰组氨酸的主链电荷,以及(3)通过减小两个残基侧链部分电荷引入有效极化,都可以显著提高pKa预测的精度。在全数据集上使用改进的CHARMM36m力场,将预测误差从2.12±0.27 pK降低到1.28±0.15 pK,与实验的相关性从0.25±0.09提高到0.58±0.08。同样,使用改进的Amber14SB力场将误差从3.21±0.29 pK降低到1.69±0.23 pK,将相关性从0.15±0.10提高到0.36±0.10。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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