MixMD Probeview: Robust Binding Site Prediction from Cosolvent Simulations

插件 排名(信息检索) 变构调节 分子动力学 水准点(测量) 可视化 计算机科学 虚拟筛选 化学 鉴定(生物学) 计算生物学 数据挖掘 人工智能 计算化学 地图学 生物 程序设计语言 植物 生物化学 地理
作者
Sarah E. Graham,Noah Leja,Heather A. Carlson
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:58 (7): 1426-1433 被引量:35
标识
DOI:10.1021/acs.jcim.8b00265
摘要

Mixed-solvent molecular dynamics (MixMD) is a cosolvent simulation technique for identifying binding hotspots and specific favorable interactions on a protein's surface. MixMD studies have the ability to identify these biologically relevant sites by examining the occupancy of the cosolvent over the course of the simulation. However, previous MixMD analysis required a great deal of manual inspection to identify relevant sites. To address this limitation, we have developed MixMD Probeview as a plugin for the freely available, open-source version of the molecular visualization program PyMOL. MixMD Probeview incorporates two analysis procedures: (1) identifying and ranking whole binding sites and (2) identifying and ranking local maxima for each probe type. These functionalities were validated using four common benchmark proteins, including two with both active and allosteric sites. In addition, three different cosolvent procedures were compared to examine the impact of including more than one cosolvent in the simulations. For all systems tested, MixMD Probeview successfully identified known active and allosteric sites based on the total occupancy of neutral probe molecules. As an easy-to-use PyMOL plugin, we expect that MixMD Probeview will facilitate identification and analysis of binding sites from cosolvent simulations performed on a wide range of systems.
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