Dynamic coupling between coordinates in a model for biomolecular isomerization.

To understand a complex reaction, it is necessary to project the dynamics of the system onto a low-dimensional subspace of physically meaningful coordinates. We recently introduced an automatic method for identifying coordinates that relate closely to stable-state commitment probabilities and successfully applied it to a model for biomolecular isomerization, the C(7eq)-->alpha(R) transition of the alanine dipeptide [A. Ma and A. R. Dinner, J. Phys. Chem. B 109, 6769 (2005)]. Here, we explore approximate means for estimating diffusion tensors for systems subject to restraints in one and two dimensions and then use the results together with an extension of Kramers theory for unimolecular reaction rates [A. Berezhkovskii and A. Szabo, J. Chem. Phys. 122, 014503 (2005)] to show explicitly that both the potential of mean force and the diffusion tensor are essential for describing the dynamics of the alanine dipeptide quantitatively. In particular, the signficance of off-diagonal elements of the diffusion tensor suggests that the coordinates of interest are coupled by the hydrodynamic-like response of the bath of remaining degrees of freedom.

[1]  C. Dellago,et al.  Reaction coordinates of biomolecular isomerization. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[2]  J. Onuchic,et al.  DIFFUSIVE DYNAMICS OF THE REACTION COORDINATE FOR PROTEIN FOLDING FUNNELS , 1996, cond-mat/9601091.

[3]  A. Berezhkovskii,et al.  One-dimensional reaction coordinates for diffusive activated rate processes in many dimensions. , 2005, The Journal of chemical physics.

[4]  Arup K Chakraborty,et al.  Atomistic understanding of kinetic pathways for single base-pair binding and unbinding in DNA , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Martin Karplus,et al.  A POSITION DEPENDENT FRICTION MODEL FOR SOLUTION REACTIONS IN THE HIGH FRICTION REGIME : PROTON TRANSFER IN TRIOSEPHOSPHATE ISOMERASE (TIM) , 1996 .

[6]  G. Hummer,et al.  Conformational diffusion and helix formation kinetics. , 2000, Physical review letters.

[7]  Berend Smit,et al.  Molecular Dynamics Simulations , 2002 .

[8]  C. Dellago,et al.  Transition path sampling and the calculation of rate constants , 1998 .

[9]  B. Berne,et al.  Spatial dependence of time‐dependent friction for pair diffusion in a simple fluid , 1990 .

[10]  B. Brooks,et al.  An analysis of the accuracy of Langevin and molecular dynamics algorithms , 1988 .

[11]  B. Berg,et al.  Multicanonical algorithms for first order phase transitions , 1991 .

[12]  A. H. Klahn,et al.  References and Notes , 2022 .

[13]  宁北芳,et al.  疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A , 2005 .

[14]  M. Karplus,et al.  A Comprehensive Analytical Treatment of Continuum Electrostatics , 1996 .

[15]  D. Landau,et al.  Efficient, multiple-range random walk algorithm to calculate the density of states. , 2000, Physical review letters.

[16]  F A Gianturco,et al.  Vibrational excitation of CF4 by electron impact: a computational analysis , 2005 .

[17]  Vijay S Pande,et al.  One-dimensional reaction coordinate and the corresponding potential of mean force from commitment probability distribution. , 2005, The journal of physical chemistry. B.

[18]  R. Hochstrasser,et al.  Two-dimensional infrared spectroscopy: a promising new method for the time resolution of structures. , 2001, Current opinion in structural biology.

[19]  M. Karplus,et al.  Simulation of activation free energies in molecular systems , 1996 .

[20]  John E. Straub,et al.  Dynamic friction on rigid and flexible bonds , 1990 .

[21]  Bernard Pettitt,et al.  Stochastic dynamics simulations of the alanine dipeptide using a solvent-modified potential energy surface , 1993 .

[22]  David Chandler,et al.  Statistical mechanics of isomerization dynamics in liquids and the transition state approximation , 1978 .

[23]  Berend Smit,et al.  Understanding Molecular Simulation , 2001 .

[24]  Benoît Roux,et al.  Conformational Flexibility of o-Phosphorylcholine and o-Phosphorylethanolamine: A Molecular Dynamics Study of Solvation Effects , 1994 .

[25]  M. Karplus,et al.  CHARMM: A program for macromolecular energy, minimization, and dynamics calculations , 1983 .

[26]  Gerhard Hummer,et al.  Unveiling functional protein motions with picosecond x-ray crystallography and molecular dynamics simulations. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[27]  J. Langer Statistical theory of the decay of metastable states , 1969 .

[28]  X. Xie,et al.  Single-molecule enzymatic dynamics. , 1998, Science.

[29]  Berend Smit,et al.  Understanding molecular simulation: from algorithms to applications , 1996 .

[30]  Aaron R Dinner,et al.  Automatic method for identifying reaction coordinates in complex systems. , 2005, The journal of physical chemistry. B.

[31]  W. Im,et al.  Ions and counterions in a biological channel: a molecular dynamics simulation of OmpF porin from Escherichia coli in an explicit membrane with 1 M KCl aqueous salt solution. , 2002, Journal of molecular biology.

[32]  V. Pande,et al.  On the transition coordinate for protein folding , 1998 .

[33]  M. Karplus,et al.  THE THERMODYNAMICS AND KINETICS OF PROTEIN FOLDING : A LATTICE MODEL ANALYSIS OF MULTIPLE PATHWAYS WITH INTERMEDIATES , 1999 .

[34]  H. Kramers Brownian motion in a field of force and the diffusion model of chemical reactions , 1940 .

[35]  Jianping Wang,et al.  Two-dimensional infrared spectroscopy of the alanine dipeptide in aqueous solution. , 2005, The journal of physical chemistry. B.

[36]  F. Calvo,et al.  Sampling along reaction coordinates with the Wang-Landau method , 2002, cond-mat/0205428.

[37]  D. Chandler,et al.  Grid-Flux Method for Learning the Solvent Contribution to the Mechanisms of Reactions , 2003 .

[38]  F. Young Biochemistry , 1955, The Indian Medical Gazette.

[39]  B. Berne,et al.  Calculation of dynamic friction on intramolecular degrees of freedom , 1987 .

[40]  H Frauenfelder,et al.  Dynamics of ligand binding to myoglobin. , 1975, Biochemistry.

[41]  Edward Harder,et al.  On the Calculation of Diffusion Coefficients in Confined Fluids and Interfaces with an Application to the Liquid-Vapor Interface of Water † , 2003 .

[42]  M. Karplus,et al.  Dynamics of ligand binding to heme proteins. , 1979, Journal of molecular biology.

[43]  Aaron R. Dinner,et al.  Monte Carlo simulations of biomolecules: The MC module in CHARMM , 2006, J. Comput. Chem..

[44]  P. Hänggi,et al.  Reaction-rate theory: fifty years after Kramers , 1990 .