Free Energy Simulations a

Monte Carlo or molecular dynamics simulations involve the numerical determinations of the statistical thermodynamics and related structural, energetic and (in the case of molecular dynamics) dynamic properties of an atomic or molecular assembly on a high-speed digital computer. Applications to molecular systems range from the study of the motions of atoms or groups of atoms of a molecule or macromolecule under the influence of intramolecular energy functions to the exploration of the structure and energetics of condensed fluid phases such as liquid water and aqueous solutions based on intermolecular potentials. The quantities determined in a typical Monte Carlo or molecular dynamics simulation include the average or mean configurational energy (thermodynamic excess internal energy), various spatial distribution functions for equilibrium systems, and time-correlation functions for dynamical systems, along with detailed structural and energetic analyses thereof. Diverse problems in structural and reaction chemistry of molecules in solution, such as solvation potentials, solvent effects on conformational stability and the effect of solvent on chemical reaction kinetics and mechanism via activated complex theory also require a particular knowledge of the configurational free energy, which in principle follows directly from the statistical thermodynamic partition function for the system. Considerations on free energy in molecular simulations take a distinctly different form for intramolecular and intermolecular degrees of freedom. For the intramolecular case, the problem involves vibrational and librational modes of motion on the intramolecular energy surface. We will discuss briefly a t the end of this paper the harmonic and quasiharmonic approximation used to compute vibrational contributions to the free energy, but we will restrict the focus herein to the intermolecular case, where the particles of the system undergo diffusional motion and a harmonic or quasiharmonic treatment breaks down. These considerations apply also in the case of a flexible molecule, where conformational transitions are effectively an intramolecular “diffusional mode.” Conventional Monte Carlo and molecular dynamics procedures for diffusional modes, although firmly grounded in Boltzmann statistical mechanics and dynamics, do not proceed via the direct determination of a partition function because of well-known

[1]  K. Singer,et al.  Calculation of the entropy of liquid chlorine and bromine by computer simulation , 1979 .

[2]  J. Valleau,et al.  A Monte Carlo method for obtaining the interionic potential of mean force in ionic solution , 1975 .

[3]  D. Beveridge,et al.  Potential of mean force for the stacking of phenyl rings in aqueous solution , 1985 .

[4]  Richard A. Friesner,et al.  Quasi-harmonic method for calculating vibrational spectra from classical simulations on multi-dimensional anharmonic potential surfaces , 1984 .

[5]  H. Scheraga,et al.  Monte Carlo free energy calculations on dilute solutions in the isothermal-isobaric ensemble , 1978 .

[6]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[7]  Arieh Warshel,et al.  Dynamics of reactions in polar solvents. Semiclassical trajectory studies of electron-transfer and proton-transfer reactions , 1982 .

[8]  G. Torrie,et al.  Nonphysical sampling distributions in Monte Carlo free-energy estimation: Umbrella sampling , 1977 .

[9]  Kent R. Wilson,et al.  Thermodynamics and quantum corrections from molecular dynamics for liquid water , 1982 .

[10]  J. G. Powles,et al.  Non-destructive molecular-dynamics simulation of the chemical potential of a fluid , 1982 .

[11]  M. Mezei Excess free energy of different water models computed by Monte Carlo methods , 1982 .

[12]  Ab initio calculation of the free energy of liquid water , 1978 .

[13]  Bruce J. Berne,et al.  A Monte Carlo simulation of the hydrophobic interaction , 1979 .

[14]  K. Shing,et al.  The chemical potential in dense fluids and fluid mixtures via computer simulation , 1982 .

[15]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[16]  G. Sarkisov,et al.  The thermodynamics and structure of liquid water , 1974 .

[17]  B. Widom,et al.  Some Topics in the Theory of Fluids , 1963 .

[18]  D. Michie,et al.  'Affinity'. , 2020, Proceedings of the Royal Society of London. Series B, Biological sciences.

[19]  D. J. Adams,et al.  Grand canonical ensemble Monte Carlo for a Lennard-Jones fluid , 1975 .

[20]  M. Mezei,et al.  Conformational stability and flexibility of the ala dipeptide in free space and water: Monte Carlo computer simulation studies , 1986 .

[21]  William L. Jorgensen,et al.  Theoretical studies of medium effects on conformational equilibria , 1983 .

[22]  K. Kopple,et al.  Solvent-dependent conformational distributions of some dipeptides , 1980 .

[23]  Mihaly Mezei,et al.  Convergence characteristics of Monte Carlo–Metropolis computer simulations on liquid water , 1979 .

[24]  K. Nakanishi,et al.  Monte Carlo studies on the hydrophobic hydration in dilute aqueous solutions of nonpolar molecules , 1979 .

[25]  Mihaly Mezei,et al.  A cavity-biased (T, V, μ) Monte Carlo method for the computer simulation of fluids , 1980 .

[26]  Mihaly Mezei,et al.  Monte Carlo computer simulation study of the hydrophobic effect. Potential of mean force for [(CH4)2]aq at 25 and 50 °C , 1982 .

[27]  T. Teichmann,et al.  The Measurement of Power Spectra , 1960 .

[28]  J. Leja Water and Aqueous Solutions , 1982 .

[29]  C. Tanford Macromolecules , 1994, Nature.

[30]  Calculation of free energy differences for water from computer simulations , 1985 .

[31]  D. Case,et al.  Dynamic Simulations of Oxygen Binding to Myoglobin , 1986, Annals of the New York Academy of Sciences.

[32]  F. Abraham,et al.  A Monte Carlo study of ion–water clusters , 1976 .

[33]  C. Y. Lee,et al.  The surface tension of lipid water interfaces: Monte Carlo simulations , 1980 .

[34]  J. A. Barker,et al.  A new Monte Carlo method for calculating surface tension , 1976 .

[35]  Mihaly Mezei,et al.  Convergence acceleration in Monte Carlo computer simulation on water and aqueous solutions , 1983 .

[36]  J. Barker,et al.  What is "liquid"? Understanding the states of matter , 1976 .

[37]  T. Creighton Methods in Enzymology , 1968, The Yale Journal of Biology and Medicine.

[38]  W. C. Swope,et al.  A computer simulation method for the calculation of equilibrium constants for the formation of physi , 1981 .

[39]  B. Berne,et al.  Hydrophobic effect on chain folding. The trans to gauche isomerization of n-butane in water , 1982 .

[40]  A. Cross A Comment on Hamiltonian Parameterization in Kirkwood Free Energy Calculations , 1986 .

[41]  John S. Rowlinson,et al.  Physics of simple liquids , 1968 .

[42]  K. Shing,et al.  The chemical potential from computer simulation , 1981 .

[43]  H. Temperley The Theory of Liquids , 1950, Nature.

[44]  Mihaly Mezei,et al.  Monte Carlo determination of the free energy and internal energy of hydration for the Ala dipeptide at 25.degree.C , 1985 .