Computer simulations of protein folding by targeted molecular dynamics

被引:0
|
作者
Ferrara, P [1 ]
Apostolakis, J [1 ]
Caflisch, A [1 ]
机构
[1] Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland
关键词
protein folding; chymotrypsin inhibitor 2; molecular dynamics simulation; implicit solvation model;
D O I
10.1002/(SICI)1097-0134(20000515)39:3<252::AID-PROT80>3.0.CO;2-3
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
We have performed 128 folding and 45 unfolding molecular dynamics runs of chymotrypsin inhibitor 2 (C12) with an implicit solvation model for a total simulation time of 0.4 microseconds. Folding requires that the three-dimensional structure of the native state is known. It was simulated at 300 K by supplementing the force field with a harmonic restraint which acts on the root-mean-square deviation and allows to decrease the distance to the target conformation. High temperature and/or the harmonic restraint were used to induce unfolding. Of the 62 folding simulations started from random conformations, 31 reached the native structure, while the success rate was 83% for the 66 trajectories which began from conformations unfolded by high-temperature dynamics. A funnel-like energy landscape is observed for unfolding at 475 K while the unfolding runs at 300 K and 375 It as well as most of the folding trajectories have an almost flat energy landscape for conformations with less than about 50% of native contacts formed. The sequence of events, i.e., secondary and tertiary structure formation, is similar in all folding and unfolding simulations, despite the diversity of the pathways. Previous unfolding simulations of CI2 performed with different force fields showed a similar sequence of events. These results suggest that the topology of the native state plays an important role in the folding process. (C) 2000 Wiley-Liss, Inc.
引用
收藏
页码:252 / 260
页数:9
相关论文
共 50 条
  • [31] Folding thermodynamics of β-hairpins studied by replica-exchange molecular dynamics simulations
    Zerze, Guel H.
    Uz, Bilge
    Mittal, Jeetain
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2015, 83 (07) : 1307 - 1315
  • [32] Enhanced ab initio protein folding simulations in Poisson-Boltzmann molecular dynamics with self-guiding forces
    Wen, EZ
    Hsieh, MJ
    Kollman, PA
    Luo, R
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2004, 22 (05) : 415 - 424
  • [33] Protein Folding Simulations by Generalized-Ensemble Algorithms
    Yoda, Takao
    Sugita, Yuji
    Okamoto, Yuko
    PROTEIN CONFORMATIONAL DYNAMICS, 2014, 805 : 1 - 27
  • [34] DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
    Lee, Hyungro
    Ma, Heng
    Turilli, Matteo
    Bhowmik, Debsindhu
    Jha, Shantenu
    Ramanathan, Arvind
    PROCEEDINGS OF 2019 IEEE/ACM THIRD WORKSHOP ON DEEP LEARNING ON SUPERCOMPUTERS (DLS), 2019, : 12 - 19
  • [35] Molecular dynamics simulations as a tool for improving protein stability
    Pikkemaat, MG
    Linssen, ABM
    Berendsen, HJC
    Janssen, DB
    PROTEIN ENGINEERING, 2002, 15 (03): : 185 - 192
  • [36] Deep clustering of protein folding simulations
    Debsindhu Bhowmik
    Shang Gao
    Michael T. Young
    Arvind Ramanathan
    BMC Bioinformatics, 19
  • [37] Multiscale methods for protein folding simulations
    Li, Wenfei
    Yoshii, Hiroaki
    Hori, Naoto
    Kameda, Tomoshi
    Takada, Shoji
    METHODS, 2010, 52 (01) : 106 - 114
  • [38] Deep clustering of protein folding simulations
    Bhowmik, Debsindhu
    Gao, Shang
    Young, Michael T.
    Ramanathan, Arvind
    BMC BIOINFORMATICS, 2018, 19
  • [39] Discrete molecular dynamics studies of the folding of a protein-like model
    Dokholyan, NV
    Buldyrev, SV
    Stanley, HE
    Shakhnovich, EI
    FOLDING & DESIGN, 1998, 3 (06): : 577 - 587
  • [40] Effect of the thermostat in the molecular dynamics simulation on the folding of the model protein chignolin
    Carlos A. Fuzo
    Léo Degrève
    Journal of Molecular Modeling, 2012, 18 : 2785 - 2794