Molecular Simulation of ab Initio Protein Folding for a Millisecond Folder NTL9(1-39)

被引:402
作者
Voelz, Vincent A. [1 ]
Bowman, Gregory R. [3 ]
Beauchamp, Kyle [3 ]
Pande, Vijay S. [1 ,2 ,3 ]
机构
[1] Stanford Univ, Dept Chem, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Biol Struct, Stanford, CA 94305 USA
[3] Stanford Univ, Biophys Program, Stanford, CA 94305 USA
关键词
TRANSITION; HETEROGENEITY; DYNAMICS; KINETICS; DESIGN;
D O I
10.1021/ja9090353
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
To date, the slowest-folding proteins folded ab initio by all-atom molecular dynamics simulations have had folding times in the range of nanoseconds to microseconds. We report simulations of several folding trajectories of NTL9(1-39), a protein which has a folding time of similar to 1.5 ms. Distributed molecular dynamics simulations in implicit solvent on GPU processors were used to generate ensembles of trajectories out to similar to 40 mu s for several temperatures and starting states. At a temperature less than the melting point of the force field, we observe a small number of productive folding events, consistent with predictions from a model of parallel uncoupled two-state simulations. The posterior distribution of the folding rate predicted from the data agrees well with the experimental folding rate (similar to 640/s). Markov State Models (MSMs) built from the data show a gap in the implied time scales indicative of two-state folding and heterogeneous pathways connecting diffuse mesoscopic substates. Structural analysis of the 14 out of 2000 macrostates transited by the top 10 folding pathways reveals that native-like pairing between strands 1 and 2 only occurs for macrostates with p(fold) > 0.5, suggesting beta(12) hairpin formation may be rate-limiting. We believe that using simulation data such as these to seed adaptive resampling simulations will be a promising new method for achieving statistically converged descriptions of folding landscapes at longer time scales than ever before.
引用
收藏
页码:1526 / +
页数:5
相关论文
共 33 条
  • [1] Using generalized ensemble simulations and Markov state models to identify conformational states
    Bowman, Gregory R.
    Huang, Xuhui
    Pande, Vijay S.
    [J]. METHODS, 2009, 49 (02) : 197 - 201
  • [2] Progress and challenges in the automated construction of Markov state models for full protein systems
    Bowman, Gregory R.
    Beauchamp, Kyle A.
    Boxer, George
    Pande, Vijay S.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2009, 131 (12)
  • [3] Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics
    Chodera, John D.
    Singhal, Nina
    Pande, Vijay S.
    Dill, Ken A.
    Swope, William C.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2007, 126 (15)
  • [4] Long-time protein folding dynamics from short-time molecular dynamics simulations
    Chodera, John D.
    Swope, William C.
    Pitera, Jed W.
    Dill, Ken A.
    [J]. MULTISCALE MODELING & SIMULATION, 2006, 5 (04) : 1214 - 1226
  • [5] Performance guarantees for hierarchical clustering
    Dasgupta, S
    Long, PM
    [J]. JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2005, 70 (04) : 555 - 569
  • [6] The protein folding problem: when will it be solved?
    Dill, Ken A.
    Ozkan, S. Banu
    Weikl, Thomas R.
    Chodera, John D.
    Voelz, Vincent A.
    [J]. CURRENT OPINION IN STRUCTURAL BIOLOGY, 2007, 17 (03) : 342 - 346
  • [7] Heterogeneity even at the speed limit of folding: Large-scale molecular dynamics study of a fast-folding variant of the villin headpiece
    Ensign, Daniel L.
    Kasson, Peter M.
    Pande, Vijay S.
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2007, 374 (03) : 806 - 816
  • [8] Bayesian Single-Exponential Kinetics in Single-Molecule Experiments and Simulations
    Ensign, Daniel L.
    Pande, Vijay S.
    [J]. JOURNAL OF PHYSICAL CHEMISTRY B, 2009, 113 (36) : 12410 - 12423
  • [9] The Fip35 WW Domain Folds with Structural and Mechanistic Heterogeneity in Molecular Dynamics Simulations
    Ensign, Daniel L.
    Pande, Vijay S.
    [J]. BIOPHYSICAL JOURNAL, 2009, 96 (08) : L53 - L55
  • [10] Accelerating Molecular Dynamic Simulation on Graphics Processing Units
    Friedrichs, Mark S.
    Eastman, Peter
    Vaidyanathan, Vishal
    Houston, Mike
    Legrand, Scott
    Beberg, Adam L.
    Ensign, Daniel L.
    Bruns, Christopher M.
    Pande, Vijay S.
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2009, 30 (06) : 864 - 872