Electrostatic-Consistent Coarse-Grained Potentials for Molecular Simulations of Proteins

被引:29
|
作者
Spiga, Enrico [1 ]
Alemani, Davide [1 ]
Degiacomi, Matteo T. [1 ]
Cascella, Michele [2 ]
Dal Peraro, Matteo [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Sch Life Sci, Inst Bioengn, CH-1015 Lausanne, Switzerland
[2] Univ Bern, Dept Chem & Biochem, CH-3012 Bern, Switzerland
基金
瑞士国家科学基金会;
关键词
WATER-SOLUBLE ANALOG; FORCE-FIELD; DYNAMICS SIMULATIONS; STRUCTURAL DYNAMICS; NUCLEIC-ACIDS; SOLVENT MODEL; BETA; RECOGNITION; ALGORITHMS; SEQUENCES;
D O I
10.1021/ct400137q
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 present a new generation of coarse-grained (CG) potentials that account for a simplified electrostatic description of soluble proteins. The treatment of permanent electrostatic dipoles of the backbone and polar side-chains allows to simulate proteins, preserving an excellent structural and dynamic agreement with respective reference structures and all-atom molecular dynamics simulations. Moreover, multiprotein complexes can be well described maintaining their molecular interfaces thanks to the ability of this scheme to better describe the actual electrostatics at a CG level of resolution. An efficient and robust heuristic algorithm based on particle swarm optimization is used for the derivation of CG parameters via a force-matching procedure. The ability of this protocol to deal with high dimensional search spaces suggests that the extension of this optimization procedure to larger data sets may lead to the generation of a fully transferable CG force field. At the present stage, these electrostatic-consistent CG potentials are easily and efficiently parametrized, show a good degree of transferability, and can be used to simulate soluble proteins or, more interestingly, large macromolecular assemblies for which long all-atom simulations may not be easily affordable.
引用
下载
收藏
页码:3515 / 3526
页数:12
相关论文
共 50 条
  • [1] A polarizable coarse-grained water model for coarse-grained proteins simulations
    Ha-Duong, Tap
    Basdevant, Nathalie
    Borgis, Daniel
    CHEMICAL PHYSICS LETTERS, 2009, 468 (1-3) : 79 - 82
  • [2] Improved Angle Potentials for Coarse-Grained Molecular Dynamics Simulations
    Bulacu, Monica
    Goga, Nicolae
    Zhao, Wei
    Rossi, Giulia
    Monticelli, Luca
    Periole, Xavier
    Tieleman, D. Peter
    Marrink, Siewert J.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (08) : 3282 - 3292
  • [3] Coarse-grained molecular dynamics simulations of membrane proteins and peptides
    Bond, Peter J.
    Holyoake, John
    Ivetac, Anthony
    Khalid, Syma
    Sansom, Mark S. P.
    JOURNAL OF STRUCTURAL BIOLOGY, 2007, 157 (03) : 593 - 605
  • [4] Representation of coarse-grained potentials for polymer simulations
    Briels, WJ
    Akkermans, RLC
    MOLECULAR SIMULATION, 2002, 28 (1-2) : 145 - 152
  • [5] Integration of electrostatic dipolar interactions in coarse-grained models for protein molecular simulations
    Alemani, Davide
    Spiga, Enrico
    De Giacomi, Matteo
    Cascella, Michele
    Dal Peraro, Matteo
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 243
  • [6] Coarse-grained simulations of the conformational dynamics of proteins
    Haliloglu, T
    COMPUTATIONAL AND THEORETICAL POLYMER SCIENCE, 1999, 9 (3-4): : 255 - 260
  • [7] Coarse-grained simulations of the conformational dynamics of proteins
    Poly. Res. Ctr. and Chem. Eng. Dept., Bogazici University, Bebek 80815, Istanbul, Turkey
    Comput. Theor. Polym. Sci., 3-4 (255-260):
  • [8] A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins
    Majek, Peter
    Elber, Ron
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2009, 76 (04) : 822 - 836
  • [9] Introducing Memory in Coarse-Grained Molecular Simulations
    Klippenstein, Viktor
    Tripathy, Madhusmita
    Jung, Gerhard
    Schmid, Friederike
    van der Vegt, Nico F. A.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2021, 125 (19): : 4931 - 4954
  • [10] Coarse-grained molecular simulations of large biomolecules
    Takada, Shoji
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2012, 22 (02) : 130 - 137