EFFECTIVE WATER MODEL FOR MONTE-CARLO SIMULATIONS OF PROTEINS

被引:3
|
作者
BANKS, J
BROWER, RC
MA, JP
机构
[1] BOSTON UNIV, DEPT BIOMED ENGN, BOSTON, MA 02215 USA
[2] BOSTON UNIV, DEPT ELECT COMP & SYST ENGN, BOSTON, MA 02215 USA
[3] BOSTON UNIV, DEPT PHYS, BOSTON, MA 02215 USA
[4] BOSTON UNIV, DEPT CHEM, BOSTON, MA 02215 USA
关键词
D O I
10.1002/bip.360350308
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 present an effective theory for water Our goal is to formulate an accurate model for the effects of solvation on protein dynamics, without incurring the huge computational cost and the slow temporal evolution typical of molecular dynamics simulations of liquids. We replace the individual water molecules in apr all-atom potential with a local dielectric density field, with self- interactions given by the Landau-Ginzburg free energy and external interactions by Lennard-Jones forces at the surface of the protein atoms. We explore conformational space with finite temperature Monte Carlo dynamics using parallel Langevin and Fourier acceleration algorithms well suited to data-parallel computer architectures such as the Connection Machine. To establish the validity of our approximations, we compare our electrostatic contribution to the solvation energy with the results of Lim, Bashford, and Karplus using a conventional static continuum dielectric cavity model, and the nonelectrostatic contributions with estimates of hydrophobic surface free energy. Our model can also accommodate ionic charges and temperature fluctuations. We propose future investigations extending our effective theory of solvation to include explicit orientational entropy and hydrogen-bonding terms. (C) 1995 John Wiley & Sons, Inc.
引用
收藏
页码:331 / 341
页数:11
相关论文
共 50 条
  • [11] AN INTRODUCTION TO MONTE-CARLO SIMULATIONS
    JOY, DC
    INSTITUTE OF PHYSICS CONFERENCE SERIES, 1988, (93): : 23 - 32
  • [12] MONTE-CARLO SIMULATIONS OF MICROEMULSIONS
    BOYDEN, S
    JAN, N
    RAY, T
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA D-CONDENSED MATTER ATOMIC MOLECULAR AND CHEMICAL PHYSICS FLUIDS PLASMAS BIOPHYSICS, 1994, 16 (09): : 1439 - 1445
  • [13] MONTE-CARLO SIMULATIONS OF ZEOLITES
    SOUKOULIS, CM
    JOURNAL OF PHYSICAL CHEMISTRY, 1984, 88 (21): : 4898 - 4901
  • [14] PARALLEL MONTE-CARLO SIMULATIONS
    ESSELINK, K
    LOYENS, LDJC
    SMIT, B
    PHYSICAL REVIEW E, 1995, 51 (02): : 1560 - 1568
  • [15] MULTICANONICAL MONTE-CARLO SIMULATIONS
    BERG, BA
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS, 1993, 4 (02): : 249 - 256
  • [16] ON OPTIMIZATION OF MONTE-CARLO SIMULATIONS
    KOLAFA, J
    MOLECULAR PHYSICS, 1988, 63 (04) : 559 - 579
  • [17] OPTIMIZATION OF MONTE-CARLO SIMULATIONS
    HEUER, HO
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 1992, 182 (04) : 649 - 671
  • [18] AN INTRODUCTION TO MONTE-CARLO SIMULATIONS
    JOY, DC
    EUREM 88, VOLS 1-3: TUTORIALS, INSTRUMENTATION AND TECHNIQUES / PHYSICS AND MATERIALS / BIOLOGY, 1988, 93 : 23 - 32
  • [19] FASTER MONTE-CARLO SIMULATIONS
    BLUE, JL
    BEICHL, I
    SULLIVAN, F
    PHYSICAL REVIEW E, 1995, 51 (02) : R867 - R868
  • [20] Assessment of the inelastic scattering model in Monte-Carlo simulations
    Stary, V
    MIKROCHIMICA ACTA, 1998, : 341 - 349