Folding simulations of Trp-cage mini protein in explicit solvent using biasing potential replica-exchange molecular dynamics simulations

被引:46
|
作者
Kannan, Srinivasaraghavan [1 ]
Zacharias, Martin [1 ]
机构
[1] Jacobs Univ Bremen, Sch Sci & Engn, D-28759 Bremen, Germany
关键词
conformational sampling; molecular dynamics simulation; protein folding; peptide folding; protein structure prediction; FREE-ENERGY LANDSCAPE; GENERALIZED-ENSEMBLE ALGORITHMS; PARTICLE MESH EWALD; STRUCTURE PREDICTION; MONTE-CARLO; UNFOLDED STATE; FORCE-FIELD; PEPTIDE; WATER; CONFORMATIONS;
D O I
10.1002/prot.22359
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
Replica exchange molecular dynamics (RexMD) simulations are frequently used for studying structure formation and dynamics of peptides and proteins. A significant drawback of standard temperature RexMD is, however, the rapid increase of the replica number with increasing system size to cover a desired temperature range. A recently developed Hamiltonian RexMD method has been used to study folding of the Trp-cage protein. It employs a biasing potential that lowers the backbone dihedral barriers and promotes peptide backbone transitions along the replica coordinate. In two independent applications of the biasing potential RexMD method including explicit solvent and starting from a completely unfolded structure the formation of near-native conformations was observed after 30-40 ns simulation time. The conformation representing the most populated cluster at the final simulation stage had a backbone root mean square deviation of similar to 1.3 angstrom from the experimental structure. This was achieved with a very modest number of five replicas making it well suited for peptide and protein folding and refinement studies including explicit solvent. In contrast, during five independent continuous 70 ns molecular dynamics simulations formation of collapsed states but no near native structure formation was observed. The simulations predict a largely collapsed state with a significant helical propensity for the helical domain of the Trp-cage protein already in the unfolded state. Hydrogen bonded bridging water molecules were identified that could play an active role by stabilizing the arrangement of the helical domain with respect to the rest of the chain already in intermediate states of the protein.
引用
收藏
页码:448 / 460
页数:13
相关论文
共 50 条
  • [1] Folding of Trp-cage Mini Protein Using Temperature and Biasing Potential Replica-Exchange Molecular Dynamics Simulations
    Kannan, Srinivasaraghavan
    Zacharias, Martin
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2009, 10 (03) : 1121 - 1137
  • [2] Understanding folding and design: Replica-exchange simulations of "Trp-cage" fly miniproteins
    Pitera, JW
    Swope, W
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (13) : 7587 - 7592
  • [3] Folding of a DNA hairpin loop structure in explicit solvent using replica-exchange molecular dynamics Simulations
    Kannan, Srinivasaraghavan
    Zacharias, Martin
    BIOPHYSICAL JOURNAL, 2007, 93 (09) : 3218 - 3228
  • [5] Efficient and reproducible folding simulations of the Trp-cage protein with multiscale molecular dynamics
    Xia XueFeng
    Zhang Song
    Huang Bo
    Zhou Yun
    Sun ZhiRong
    CHINESE SCIENCE BULLETIN, 2008, 53 (11): : 1699 - 1707
  • [6] Replica-exchange molecular dynamics simulations for a small-sized protein folding with implicit solvent
    Suenaga, A
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 2003, 634 : 235 - 241
  • [7] Refinement Of Protein Model Structures In Explicit Solvent Using Biasing Potential Replica Exchange Simulations
    Kannan, Srinivasaraghavan
    Zacharias, Martin
    BIOPHYSICAL JOURNAL, 2009, 96 (03) : 653A - 653A
  • [8] Role of Tryptophan Side Chain Dynamics on the Trp-Cage Mini-Protein Folding Studied by Molecular Dynamics Simulations
    Kannan, Srinivasaraghavan
    Zacharias, Martin
    PLOS ONE, 2014, 9 (02):
  • [9] Nonlinear vs. linear biasing in Trp-cage folding simulations
    Spiwok, Vojtech
    Oborsky, Pavel
    Pazurikova, Jana
    Krenek, Ales
    Kralova, Blanka
    JOURNAL OF CHEMICAL PHYSICS, 2015, 142 (11):
  • [10] Application of biasing-potential replica-exchange simulations for loop modeling and refinement of proteins in explicit solvent
    Kannan, Srinivasaraghavan
    Zacharias, Martin
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2010, 78 (13) : 2809 - 2819