Paul Fabian, Wehmeyer Christoph, Abualrous Esam T, Wu Hao, Crabtree Michael D, Schöneberg Johannes, Clarke Jane, Freund Christian, Weikl Thomas R, Noé Frank
Department of Molecular and Cell Biology and California Institute for Quantitative Biosciences, University of California, Berkeley, CA, 94720, USA.
Max Planck Institute of Colloids and Interfaces, Department of Theory and Bio-Systems, 14476, Potsdam, Germany.
Nat Commun. 2017 Oct 23;8(1):1095. doi: 10.1038/s41467-017-01163-6.
Understanding and control of structures and rates involved in protein ligand binding are essential for drug design. Unfortunately, atomistic molecular dynamics (MD) simulations cannot directly sample the excessively long residence and rearrangement times of tightly binding complexes. Here we exploit the recently developed multi-ensemble Markov model framework to compute full protein-peptide kinetics of the oncoprotein fragment Mdm2 and the nano-molar inhibitor peptide PMI. Using this system, we report, for the first time, direct estimates of kinetics beyond the seconds timescale using simulations of an all-atom MD model, with high accuracy and precision. These results only require explicit simulations on the sub-milliseconds timescale and are tested against existing mutagenesis data and our own experimental measurements of the dissociation and association rates. The full kinetic model reveals an overall downhill but rugged binding funnel with multiple pathways. The overall strong binding arises from a variety of conformations with different hydrophobic contact surfaces that interconvert on the milliseconds timescale.
理解和控制蛋白质配体结合所涉及的结构和速率对于药物设计至关重要。不幸的是,原子分子动力学(MD)模拟无法直接采样紧密结合复合物过长的停留和重排时间。在此,我们利用最近开发的多系综马尔可夫模型框架来计算癌蛋白片段Mdm2和纳摩尔抑制剂肽PMI的完整蛋白质-肽动力学。使用该系统,我们首次通过全原子MD模型模拟以高精度和高精确度报告了超过秒级时间尺度的动力学直接估计值。这些结果仅需要在亚毫秒时间尺度上进行显式模拟,并根据现有的诱变数据以及我们自己对解离和缔合速率的实验测量进行了测试。完整的动力学模型揭示了一个总体上向下但崎岖不平且具有多种途径的结合漏斗。总体上的强结合源于多种具有不同疏水接触表面的构象,这些构象在毫秒时间尺度上相互转换。