MixMD Probeview: Robust Binding Site Prediction from Cosolvent Simulations

被引:38
作者
Graham, Sarah E. [1 ]
Leja, Noah [2 ]
Carlson, Heather A. [1 ,2 ,3 ]
机构
[1] Univ Michigan, Dept Biophys, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Med Chem, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Coll Pharm, 428 Church St, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; BETA-SECRETASE; ANDROGEN RECEPTOR; CRYSTAL-STRUCTURES; HOT-SPOTS; ABL; DISCOVERY; PROTEASE; AMBER; DEHYDROGENASE;
D O I
10.1021/acs.jcim.8b00265
中图分类号
R914 [药物化学];
学科分类号
100701 ;
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.
引用
收藏
页码:1426 / 1433
页数:8
相关论文
共 45 条
[1]  
[Anonymous], 2016, PYMOL 1 8 4 0
[2]  
[Anonymous], 2013, MOL OP ENV MOE 2013
[3]   Druggability Assessment of Allosteric Proteins by Dynamics Simulations in the Presence of Probe Molecules [J].
Bakan, Ahmet ;
Nevins, Neysa ;
Lakdawala, Ami S. ;
Bahar, Ivet .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2012, 8 (07) :2435-2447
[4]  
Case D.A., 2010, AMBER 11
[5]  
Case D.A., 2014, Amber, V14, P29
[6]  
Case D. A., 2012, AMBER, V12
[7]   MolProbity: all-atom structure validation for macromolecular crystallography [J].
Chen, Vincent B. ;
Arendall, W. Bryan, III ;
Headd, Jeffrey J. ;
Keedy, Daniel A. ;
Immormino, Robert M. ;
Kapral, Gary J. ;
Murray, Laura W. ;
Richardson, Jane S. ;
Richardson, David C. .
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2010, 66 :12-21
[8]   Mean shift: A robust approach toward feature space analysis [J].
Comaniciu, D ;
Meer, P .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (05) :603-619
[9]   Comparison of crystal structures of human androgen receptor ligand-binding domain complexed with various agonists reveals molecular determinants responsible for binding affinity [J].
De Jesus-Tran, KP ;
Cote, PL ;
Cantin, L ;
Blanchet, J ;
Labrie, F ;
Breton, R .
PROTEIN SCIENCE, 2006, 15 (05) :987-999
[10]   A surface on the androgen receptor that allosterically regulates coactivator binding [J].
Estebanez-Perpina, Eva ;
Arnold, Alexander A. ;
Nguyen, Phuong ;
Rodrigues, Edson Delgado ;
Mar, Ellena ;
Bateman, Raynard ;
Pallai, Peter ;
Shokat, Kevan M. ;
Baxter, John D. ;
Guy, R. Kiplin ;
Webb, Paul ;
Fletterick, Robert J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (41) :16074-16079