Toward Atomistic Modeling of Irreversible Covalent Inhibitor Binding Kinetics

共价键 化学 动力学 非共价相互作用 计算化学 受体-配体动力学 残留物(化学) 配体(生物化学) 化学动力学 立体化学 组合化学 分子 氢键 有机化学 受体 生物化学 物理 量子力学
作者
Haoyu S. Yu,Cen Gao,Dmitry Lupyan,Yujie Wu,Takayuki Kimura,Chuanjie Wu,Leif D. Jacobson,Edward Harder,Robert Abel,Lingle Wang
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:59 (9): 3955-3967 被引量:41
标识
DOI:10.1021/acs.jcim.9b00268
摘要

Covalent inhibitors have emerged as an important drug class in recent years, largely due to their many unique advantages as compared to noncovalent inhibitors, including longer duration of action, lower prolonged systemic exposure, higher potency, and selectivity. However, the potential off-target toxicity of covalent inhibitors, particularly of irreversible covalent inhibitors, represents a great challenge in covalent drug development. Therefore, accurate calculation of protein covalent inhibitor reaction kinetics to guide the design of selective inhibitors would greatly benefit covalent drug discovery efforts. In the present paper, we present a computational method to calculate the relative reaction kinetics between congeneric irreversible covalent inhibitors and their protein receptors. The method combines density functional theory calculations of the transition state barrier height of the rate-limiting step for reaction between the warhead of the inhibitor and a single protein residue, and molecular-mechanics-based free energy calculations to account for the interactions between the ligand in the transition state and the protein environment. The method was tested on four pharmaceutically interesting irreversible covalent binding systems involving 28 ligands; the mean unsigned error (MUE) of the relative reaction rate for all pairs of ligands between the predictions and experimental results for these tested systems is 0.79 log unit. This is to our knowledge the first time where the reaction kinetics of protein irreversible covalent inhibition have been directly calculated with physics-based free energy calculation methods and transition state theory. We anticipate the outstanding accuracy demonstrated here across a broad range of target classes will have a strong impact on the design of selective covalent inhibitors.
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