科学研究
学术报告
Variational Implicit-Solvent Predictions of the Dry–Wet Transition Pathways for Ligand–Receptor Binding and Unbinding Kinetics
发布时间:2019-09-09浏览次数:

题目:Variational Implicit-Solvent Predictions of the Dry–Wet Transition Pathways for Ligand–Receptor Binding and Unbinding Kinetics

报告人:周圣高 副教授 (苏州大学)

地点:致远楼101室

时间:2019年9月9日 10:30-11:30

摘要:

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. We devise a holistic, implicit-solvent, multi- method 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. This is a joint work with Dr. R. G. Weiß, L. Cheng, J. Dzubiella, J. A. McCammon, and B. Li.

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