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用于苯甲脒-胰蛋白酶解离时间分子动力学计算的自适应多级分裂方法

Adaptive Multilevel Splitting Method for Molecular Dynamics Calculation of Benzamidine-Trypsin Dissociation Time.

作者信息

Teo Ivan, Mayne Christopher G, Schulten Klaus, Lelièvre Tony

机构信息

Beckman Institute for Advanced Science and Technology , 405 North Mathews Avenue, Urbana, Illinois, 61801 United States.

Department of Physics, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.

出版信息

J Chem Theory Comput. 2016 Jun 14;12(6):2983-9. doi: 10.1021/acs.jctc.6b00277. Epub 2016 May 18.

Abstract

Adaptive multilevel splitting (AMS) is a rare event sampling method that requires minimal parameter tuning and allows unbiased sampling of transition pathways of a given rare event. Previous simulation studies have verified the efficiency and accuracy of AMS in the calculation of transition times for simple systems in both Monte Carlo and molecular dynamics (MD) simulations. Now, AMS is applied for the first time to an MD simulation of protein-ligand dissociation, representing a leap in complexity from the previous test cases. Of interest is the dissociation rate, which is typically too low to be accessible to conventional MD. The present study joins other recent efforts to develop advanced sampling techniques in MD to calculate dissociation rates, which are gaining importance in the pharmaceutical field as indicators of drug efficacy. The system investigated here, benzamidine bound to trypsin, is an example common to many of these efforts. The AMS estimate of the dissociation rate was found to be (2.6 ± 2.4) × 10(2) s(-1), which compares well with the experimental value.

摘要

自适应多级分裂(AMS)是一种罕见事件采样方法,它所需的参数调整极少,并能对给定罕见事件的过渡路径进行无偏采样。先前的模拟研究已经验证了AMS在蒙特卡罗和分子动力学(MD)模拟中计算简单系统过渡时间时的效率和准确性。现在,AMS首次应用于蛋白质-配体解离的MD模拟,这代表着与之前测试案例相比在复杂性上有了飞跃。值得关注的是解离速率,其通常过低以至于传统MD无法获取。本研究与最近其他在MD中开发先进采样技术以计算解离速率的努力相一致,解离速率作为药物疗效指标在制药领域正变得越来越重要。这里研究的系统,即苯甲脒与胰蛋白酶结合的系统,是许多此类研究中的一个常见例子。发现AMS对解离速率的估计为(2.6 ± 2.4) × 10(2) s(-1),这与实验值相当吻合。

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