Comparison of reduced point charge models of proteins: Molecular Dynamics simulations of Ubiquitin

被引:0
|
作者
Laurence Leherte
Daniel P. Vercauteren
机构
[1] University of Namur,Unité de Chimie Physique Théorique et Structurale, Laboratoire de Physico
来源
Science China Chemistry | 2014年 / 57卷
关键词
molecular electrostatic potential; electron density; smoothing of molecular fields; critical points; point charge model; protein; Ubiquitin;
D O I
暂无
中图分类号
学科分类号
摘要
Reduced point charge models of amino acids are used to model Ubiquitin (PDB: 1UBQ). They are designed (i) from local extremum positions in charge density (CD) distribution functions built from the Poisson equation applied to smoothed molecular electrostatic potential functions, or (ii) from local maximum positions in promolecular electron density distribution (ED) functions. Charge values are fitted versus all-atom Amber99 molecular electrostatic potentials. The program GROMACS is used to generate molecular dynamics trajectories of the protein, under various implementation schemes, solvation, and temperature conditions. Point charges that are not located on atoms are considered as virtual sites with a null mass and radius. The results illustrate that secondary structure is best preserved with the CD-based model at low temperatures and in vacuum. This indicates that local potential energy wells are consistent with the all-atom model. However, at room temperature, the structure is best conserved when point charges are forced to be located on atoms, due to a better description of the Coulomb 1–4 energy terms. The ED-based model, generated at a lower resolution, led to the largest discrepancies versus the all-atom case. The CD-based model allows the formation of protein-water H-bonds with geometrical properties similar to the all-atom ones. Contrarily, intra-molecular H-bonds are not well described. Structural, thermodynamical, and dynamical properties of proteins modelled with reduced point charge models are also significantly affected by the choice of the solvent force field.
引用
收藏
页码:1340 / 1354
页数:14
相关论文
共 50 条
  • [31] Molecular dynamics simulations of biomembrane models
    Vergoten, G
    BIOSPECTROSCOPY, 1998, 4 (05): : S41 - S46
  • [32] Molecular dynamics simulations of biomembrane models
    Vergoten, G
    SPECTROSCOPY OF BIOLOGICAL MOLECULES: MODERN TRENDS, 1997, : 293 - 296
  • [33] Molecular Mechanics Models for the Image Charge, a Comment on "Including Image Charge Effects in the Molecular Dynamics Simulations of Molecules on Metal Surfaces"
    Steinmann, Stephan N.
    Fleurat-Lessard, Paul
    Gotz, Andreas W.
    Michel, Carine
    de Morais, Rodrigo Ferreira
    Sautet, Philippe
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2017, 38 (24) : 2127 - 2129
  • [34] The reaction field method in molecular dynamics simulations of point-polarizable water models
    Roberts, JE
    Woodman, BL
    Schnitker, J
    MOLECULAR PHYSICS, 1996, 88 (04) : 1089 - 1108
  • [35] Convergence of molecular dynamics simulations of membrane proteins
    Grossfield, Alan
    Feller, Scott E.
    Pitman, Michael C.
    BIOPHYSICAL JOURNAL, 2007, : 408A - 408A
  • [36] Heirarchical Constrained Molecular Dynamics Simulations for Proteins
    Vaidehi, Nagarajan
    Balaraman, Gouthaman
    Park, In-Hee
    Wagner, Jeff
    Jain, Abhinandan
    BIOPHYSICAL JOURNAL, 2011, 100 (03) : 533 - 533
  • [37] Molecular dynamics simulations of proteins in lipid bilayers
    Gumbart, J
    Wang, Y
    Aksimentiev, A
    Tajkhorshid, E
    Schulten, K
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2005, 15 (04) : 423 - 431
  • [38] Molecular dynamics simulations of proteins coupled to nanoparticles
    Sen, Soumyo
    Kral, Petr
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [39] Molecular Dynamics Simulations of Membrane Proteins: An Overview
    Goossens, Kenneth
    De Winter, Hans
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2018, 58 (11) : 2193 - 2202
  • [40] Convergence of molecular dynamics simulations of membrane proteins
    Grossfield, Alan
    Feller, Scott E.
    Pitman, Michael C.
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2007, 67 (01) : 31 - 40