COFFDROP: A Coarse-Grained Nonbonded Force Field for Proteins Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of Amino Acids

被引:17
作者
Andrews, Casey T. [1 ]
Elcock, Adrian H. [1 ]
机构
[1] Univ Iowa, Dept Biochem, Iowa City, IA 52242 USA
基金
美国国家卫生研究院;
关键词
STATISTICAL POTENTIALS; BROWNIAN DYNAMICS; MODEL; ASSOCIATION; COEFFICIENTS; PARAMETERS; DEPENDENCE; KINETICS; CONTACT; SYSTEMS;
D O I
10.1021/ct5006328
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We describe the derivation of a set of bonded and nonbonded coarse-grained (CG) potential functions for use in implicit-solvent Brownian dynamics (BD) simulations of proteins derived from all-atom explicit-solvent molecular dynamics (MD) simulations of amino acids. Bonded potential functions were derived from 1 mu s MD simulations of each of the 20 canonical amino acids, with histidine modeled in both its protonated and neutral forms; nonbonded potential functions were derived from 1 mu s MD simulations of every possible pairing of the amino acids (231 different systems). The angle and dihedral probability distributions and radial distribution functions sampled during MD were used to optimize a set of CG potential functions through use of the iterative Boltzmann inversion (IBI) method. The optimized set of potential functions-which we term COFFDROP (COarse-grained Force Field for Dynamic Representation Of Proteins)-quantitatively reproduced all of the "target" MD distributions. In a first test of the force field, it was used to predict the clustering behavior of concentrated amino acid solutions; the predictions were directly compared with the results of corresponding all-atom explicit-solvent MD simulations and found to be in excellent agreement. In a second test, BD simulations of the small protein villin headpiece were carried out at concentrations that have recently been studied in all-atom explicit-solvent MD simulations by Petrov and Zagrovic (PloS Comput. Bio. 2014, 5, e1003638). The anomalously strong intermolecular interactions seen in the MD study were reproduced in the COFFDROP simulations; a simple scaling of COFFDROP's nonbonded parameters, however, produced results in better accordance with experiment. Overall, our results suggest that potential functions derived from simulations of pairwise amino acid interactions might be of quite broad applicability, with COFFDROP likely to be especially useful for modeling unfolded or intrinsically disordered proteins.
引用
收藏
页码:5178 / 5194
页数:17
相关论文
共 119 条
[1]   Molecular Dynamics Simulations of Highly Crowded Amino Acid Solutions: Comparisons of Eight Different Force Field Combinations with Experiment and with Each Other [J].
Andrews, Casey T. ;
Elcock, Adrian H. .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (10) :4585-4602
[2]  
[Anonymous], 2011, R: A Language and Environment for Statistical Computing
[3]  
[Anonymous], 2007, TRANSPORT PHENOMENA
[4]   Multiscale modeling of biomolecular systems: in serial and in parallel [J].
Ayton, Gary S. ;
Noid, Will G. ;
Voth, Gregory A. .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2007, 17 (02) :192-198
[5]   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
[6]   Statistical potentials extracted from protein structures: Are these meaningful potentials? [J].
BenNaim, A .
JOURNAL OF CHEMICAL PHYSICS, 1997, 107 (09) :3698-3706
[7]   Generic coarse-grained model for protein folding and aggregation [J].
Bereau, Tristan ;
Deserno, Markus .
JOURNAL OF CHEMICAL PHYSICS, 2009, 130 (23)
[8]   Coarse-Grained Protein Model with Residue Orientation Energies Derived from Atomic Force Fields [J].
Betancourt, Marcos R. .
JOURNAL OF PHYSICAL CHEMISTRY B, 2009, 113 (44) :14824-14830
[9]   Pairwise energies for polypeptide coarse-grained models derived from atomic force fields [J].
Betancourt, Marcos R. ;
Omovie, Sheyore J. .
JOURNAL OF CHEMICAL PHYSICS, 2009, 130 (19)
[10]   Another look at the conditions for the extraction of protein knowledge-based potentials [J].
Betancourt, Marcos R. .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2009, 76 (01) :72-85