On the ability of molecular dynamics force fields to recapitulate NMR derived protein side chain order parameters

被引:19
作者
O'Brien, Evan S.
Wand, A. Joshua [1 ]
Sharp, Kim A. [1 ]
机构
[1] Univ Penn, Dept Biochem & Biophys, Perelman Sch Med, Philadelphia, PA 19104 USA
关键词
protein motion; side chain motion; molecular dynamics; NMR relaxation; force field; accuracy; METHYL-GROUP DYNAMICS; NOBEL LECTURE; CONFORMATIONAL ENTROPY; BACKBONE PARAMETERS; RELAXATION; C-13; SIMULATIONS; BINDING; SYSTEMS; MODELS;
D O I
10.1002/pro.2922
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Molecular dynamics (MD) simulations have become a central tool for investigating various biophysical questions with atomistic detail. While many different proxies are used to qualify MD force fields, most are based on largely structural parameters such as the root mean square deviation from experimental coordinates or nuclear magnetic resonance (NMR) chemical shifts and residual dipolar couplings. NMR derived Lipari-Szabo squared generalized order parameter (O-2) values of amide NAH bond vectors of the polypeptide chain were also often employed for refinement and validation. However, with a few exceptions, side chain methyl symmetry axis order parameters have not been incorporated into experimental reference sets. Using a test set of five diverse proteins, the performance of several force fields implemented in the NAMDD simulation package was examined. It was found that simulations employing explicit water implemented using the TIP3 model generally performed significantly better than those using implicit water in reproducing experimental methyl symmetry axis O-2 values. Overall the CHARMM27 force field performs nominally better than two implementations of the Amber force field. It appeared that recent quantum mechanics modifications to side chain torsional angles of leucine and isoleucine in the Amber force field have significantly hindered proper motional modeling for these residues. There remained significant room for improvement as even the best correlations of experimental and simulated methyl group Lipari-Szabo generalized order parameters fall below an R-2 of 0.8.
引用
收藏
页码:1156 / 1160
页数:5
相关论文
共 33 条
[1]   Generalized born models of macromolecular solvation effects [J].
Bashford, D ;
Case, DA .
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, 2000, 51 :129-152
[2]   Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements [J].
Beauchamp, Kyle A. ;
Lin, Yu-Shan ;
Das, Rhiju ;
Pande, Vijay S. .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2012, 8 (04) :1409-1414
[3]  
Bowman GR, 2015, J COMPUT CHEM, V24, P1999
[4]  
Brooks BR, 2009, J COMPUT CHEM, V30
[5]  
Case D., 2014, AMBER, V14
[6]   Molecular dynamics of staphylococcal nuclease:: Comparison of simulation with 15N and 13C NMR relaxation data [J].
Chatfield, DC ;
Szabo, A ;
Brooks, BR .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1998, 120 (21) :5301-5311
[7]   Backbone and side chain dynamics of uncomplexed human adipocyte and muscle fatty acid-binding proteins [J].
Constantine, KL ;
Friedrichs, MS ;
Wittekind, M ;
Jamil, H ;
Chu, CH ;
Parker, RA ;
Goldfarb, V ;
Mueller, L ;
Farmer, BT .
BIOCHEMISTRY, 1998, 37 (22) :7965-7980
[8]   A 2ND GENERATION FORCE-FIELD FOR THE SIMULATION OF PROTEINS, NUCLEIC-ACIDS, AND ORGANIC-MOLECULES [J].
CORNELL, WD ;
CIEPLAK, P ;
BAYLY, CI ;
GOULD, IR ;
MERZ, KM ;
FERGUSON, DM ;
SPELLMEYER, DC ;
FOX, T ;
CALDWELL, JW ;
KOLLMAN, PA .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1995, 117 (19) :5179-5197
[9]   Conformational entropy in molecular recognition by proteins [J].
Frederick, Kendra King ;
Marlow, Michael S. ;
Valentine, Kathleen G. ;
Wand, A. Joshua .
NATURE, 2007, 448 (7151) :325-U3
[10]   Comparison of multiple amber force fields and development of improved protein backbone parameters [J].
Hornak, Viktor ;
Abel, Robert ;
Okur, Asim ;
Strockbine, Bentley ;
Roitberg, Adrian ;
Simmerling, Carlos .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2006, 65 (03) :712-725