Department of Mathematics, Soochow University, Suzhou 215006, Jiangsu, China.
Mathematical Center for Interdiscipline Research, Soochow University, Suzhou 215006, Jiangsu, China.
Proc Natl Acad Sci U S A. 2019 Jul 23;116(30):14989-14994. doi: 10.1073/pnas.1902719116. Epub 2019 Jul 3.
Ligand-receptor binding and unbinding are fundamental biomolecular processes and particularly essential to drug efficacy. Environmental water fluctuations, however, impact the corresponding thermodynamics and kinetics and thereby challenge theoretical descriptions. Here, we devise a holistic, implicit-solvent, multimethod approach to predict the (un)binding kinetics for a generic ligand-pocket model. We use the variational implicit-solvent model (VISM) to calculate the solute-solvent interfacial structures and the corresponding free energies, and combine the VISM with the string method to obtain the minimum energy paths and transition states between the various metastable ("dry" and "wet") hydration states. The resulting dry-wet transition rates are then used in a spatially dependent multistate continuous-time Markov chain Brownian dynamics simulation and the related Fokker-Planck equation calculations of the ligand stochastic motion, providing the mean first-passage times for binding and unbinding. We find the hydration transitions to significantly slow down the binding process, in semiquantitative agreement with existing explicit-water simulations, but significantly accelerate the unbinding process. Moreover, our methods allow the characterization of nonequilibrium hydration states of pocket and ligand during the ligand movement, for which we find substantial memory and hysteresis effects for binding vs. unbinding. Our study thus provides a significant step forward toward efficient, physics-based interpretation and predictions of the complex kinetics in realistic ligand-receptor systems.
配体-受体的结合和解离是基本的生物分子过程,对药物疗效尤其重要。然而,环境水的波动会影响相应的热力学和动力学,从而对理论描述提出挑战。在这里,我们设计了一种整体的、隐溶剂的、多方法的方法来预测通用配体口袋模型的(解)结合动力学。我们使用变分隐溶剂模型(VISM)来计算溶质-溶剂界面结构和相应的自由能,并将 VISM 与字符串方法相结合,以获得各种亚稳态(“干燥”和“湿润”)水合状态之间的最小能量路径和过渡态。然后,将得到的干湿转换速率用于空间相关的多态连续时间马尔可夫链布朗动力学模拟和相关的配体随机运动的福克-普朗克方程计算,提供结合和解离的平均首次通过时间。我们发现水合转变显著地减缓了结合过程,与现有的显式水模拟在半定量上是一致的,但显著地加速了离解过程。此外,我们的方法允许在配体运动过程中对口袋和配体的非平衡水合状态进行表征,我们发现结合与离解相比存在大量的记忆和滞后效应。因此,我们的研究为基于物理的对现实配体-受体系统中复杂动力学的有效解释和预测提供了重要的一步。