D3Pockets: A Method and Web Server for Systematic Analysis of Protein Pocket Dynamics

被引:62
作者
Chen, Zhaoqiang [1 ,2 ]
Zhang, Xinben [1 ]
Peng, Cheng [1 ,2 ]
Wang, Jinan [1 ]
Xu, Zhijian [1 ,2 ]
Chen, Kaixian [1 ,2 ,3 ]
Shi, Jiye [4 ]
Zhu, Weiliang [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Mat Med, Drug Discovery & Design Ctr, CAS Key Lab Receptor Res, Shanghai 201203, Peoples R China
[2] Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
[3] Pilot Natl Lab Marine Sci & Technol Qingdao, Open Studio Druggabil Res Marine Nat Prod, 1 Wenhai Rd, Qingdao 266237, Shandong, Peoples R China
[4] UCB Biopharma SPRL, Chemin Foriest, B-1420 Braine I Alleud, Belgium
基金
中国国家自然科学基金;
关键词
LIGAND-BINDING-SITES; DRUG; DRUGGABILITY; CAVITIES; PREDICTION; SURFACES; IDENTIFICATION; ALGORITHM; DISCOVERY; GEOMETRY;
D O I
10.1021/acs.jcim.9b00332
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The intrinsic dynamic properties of the ligand-binding pockets of proteins are important for the protein function mechanism and thus are useful to drug discovery and development. Few methods are available to study the dynamic properties, such as pocket stability, continuity, and correlation. In this work, we develop a method and web server, namely, D3Pockets, for exploring the dynamic properties of the protein pocket based on either molecular dynamics (MD) simulation trajectories or conformational ensembles. Application of D3Pockets on five target proteins as examples, namely, HIV-1 protease, BACE1, L-ABP, GPX4, and GR, uncovers more information on the dynamic properties of the ligand-binding pockets, which should be helpful to understanding protein function mechanism and drug design.
引用
收藏
页码:3353 / 3358
页数:6
相关论文
共 49 条
[1]   Pock Drug: A Model for Predicting Pocket Druggability That Overcomes Pocket Estimation Uncertainties [J].
Borrel, Alexandre ;
Regad, Leslie ;
Xhaard, Henri ;
Petitjean, Michel ;
Camproux, Anne-Claude .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2015, 55 (04) :882-895
[2]   Fast prediction and visualization of protein binding pockets with PASS [J].
Brady, GP ;
Stouten, PFW .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2000, 14 (04) :383-401
[3]   NORMAL-MODES FOR SPECIFIC MOTIONS OF MACROMOLECULES - APPLICATION TO THE HINGE-BENDING MODE OF LYSOZYME [J].
BROOKS, B ;
KARPLUS, M .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1985, 82 (15) :4995-4999
[4]   Predicting Drug-Target Interactions Using Probabilistic Matrix Factorization [J].
Cobanoglu, Murat Can ;
Liu, Chang ;
Hu, Feizhuo ;
Oltvai, Zoltan N. ;
Bahar, Ivet .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2013, 53 (12) :3399-3409
[5]  
de Ruyck Jerome, 2016, Adv Appl Bioinform Chem, V9, P1, DOI 10.2147/AABC.S105289
[6]   Comparison and Druggability Prediction of Protein-Ligand Binding Sites from Pharmacophore-Annotated Cavity Shapes [J].
Desaphy, Jeremy ;
Azdimousa, Karima ;
Kellenberger, Esther ;
Rognan, Didier .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2012, 52 (08) :2287-2299
[7]   Academic drug discovery: current status and prospects [J].
Everett, Jeremy R. .
EXPERT OPINION ON DRUG DISCOVERY, 2015, 10 (09) :937-944
[8]   Transient pockets on protein surfaces involved in protein-protein interaction [J].
Eyrisch, Susanne ;
Helms, Volkhard .
JOURNAL OF MEDICINAL CHEMISTRY, 2007, 50 (15) :3457-3464
[9]   Identifying and Characterizing Binding Sites and Assessing Druggability [J].
Halgren, Thomas A. .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2009, 49 (02) :377-389
[10]   LIGSITE: Automatic and efficient detection of potential small molecule-binding sites in proteins [J].
Hendlich, M ;
Rippmann, F ;
Barnickel, G .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 1997, 15 (06) :359-+