Stability of polypeptide conformational states as determined by computer simulation of the free energy

A method is developed to extract the entropy of polypeptides and proteins from samples of conformations. It is based on techniques suggested previously by Meirovitch, and has the advantage that it can be applied not only to states in which the molecule undergoes harmonic or quasiharmonic conformational fluctuations, but also to the random coil, as well as to mixtures of these extreme states. In order to confine the search to a region of conformational space corresponding to a stable state, the transition probabilities are determined not by “looking to the future,” as in the previous method [H. Meirovitch and H. A. Scheraga (1986) J. Chem. Phys. 84, 6369–6375], but by analyzing the previous steps in the generation of the chain. The method is applied to a model of decaglycine with rigid geometry, using the potential energy function ECEPP (Empirical Conformational Energy Program for Peptides). The model is simulated with the Metropolis Monte Carlo method to generate samples of conformations in the α‐helical and hairpin regions, respectively, at T = 100 K. For the α‐helix, the four dihedral angles of the N‐ and C‐terminal residues are found to undergo full rotational variation. The results show that the α‐helix is a more stable structure than the hairpin. Both its Helmholtz free energy F and energy E are lower than those of the hairpin by ΔF ∼ 0.4 and ΔE ∼ 0.3 kcal/mole/residue, respectively. It should be noted that the contribution of the entropy ΔS to ΔF is significant (TΔS ∼ 0.1 kcal/mole/residue). Also, the entropy of the α‐helix is found to be larger than that of the hairpin. This is a result of the extra entropy arising from the rotational freedom about the four terminal single bonds of the α‐helix.

[1]  E. Helfand,et al.  Flexible vs rigid constraints in statistical mechanics , 1979 .

[2]  D. C. Rapaport,et al.  Evolution and stability of polypeptide chain conformation: a simulation study , 1981 .

[3]  H. Berendsen,et al.  ENTROPY ESTIMATION FROM SIMULATIONS OF NON-DIFFUSIVE SYSTEMS , 1984 .

[4]  Hagai Meirovitch,et al.  A Monte Carlo study of the entropy, the pressure, and the critical behavior of the hard-square lattice gas , 1983 .

[5]  H. Scheraga,et al.  Intermolecular potentials from crystal data. 6. Determination of empirical potentials for O-H...O = C hydrogen bonds from packing configurations , 1984 .

[6]  W. F. van Gunsteren,et al.  Effect of constraints on the dynamics of macromolecules , 1982 .

[7]  H. Meirovitch,et al.  Scanning method as an unbiased simulation technique and its application to the study of self-attracting random walks. , 1985, Physical review. A, General physics.

[8]  H. Scheraga,et al.  Computer simulation of the entropy of continuum chain models: The two‐dimensional freely jointed chain of hard disks , 1986 .

[9]  P. Flory,et al.  Foundations of Rotational Isomeric State Theory and General Methods for Generating Configurational Averages , 1974 .

[10]  M. Volkenstein,et al.  Statistical mechanics of chain molecules , 1969 .

[11]  J. H. Weiner,et al.  Brownian dynamics study of a polymer chain of linked rigid bodies , 1979 .

[12]  J. Hammersley,et al.  Monte Carlo Methods , 1965 .

[13]  M. Karplus,et al.  Method for estimating the configurational entropy of macromolecules , 1981 .

[14]  N. Go,et al.  Calculation of the Conformation of the Pentapeptide Cyclo(glycylglycylglycylprolylprolyl). II. Statistical Weights , 1970 .

[15]  A molecular dynamics calculation to confirm the incorrectness of the random‐walk distribution for describing the Kramers freely jointed bead–rod chain , 1976 .

[16]  M. Fixman Classical statistical mechanics of constraints: a theorem and application to polymers. , 1974, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Harold A. Scheraga,et al.  On the Use of Classical Statistical Mechanics in the Treatment of Polymer Chain Conformation , 1976 .

[18]  Emanuel Parzen,et al.  Modern Probability Theory And Its Applications , 1962 .

[19]  H. Scheraga,et al.  Molecular theory of the helix–coil transition in polyamino acids. V. Explanation of the different conformational behavior of valine, isoleucine, and leucine in aqueous solution , 1984, Biopolymers.

[20]  N. Go,et al.  Molecular Theory of the Helix–Coil Transition in Polyamino Acids. III. Evaluation and Analysis of s and σ for Polyglycine and Poly‐l‐alanine in Water , 1971 .

[21]  H. Scheraga,et al.  Energy parameters in polypeptides. 9. Updating of geometrical parameters, nonbonded interactions, and hydrogen bond interactions for the naturally occurring amino acids , 1983 .

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

[23]  Hagai Meirovitch,et al.  Computer simulation technique for calculating the entropy of polymer chains, based on the scanning method with a mean-field parameter , 1985 .

[24]  N. Go,et al.  New method for calculating the conformational entropy of a regular helix. , 1974, Macromolecules.

[25]  W. Vangunsteren Constrained dynamics of flexible molecules , 1980 .

[26]  B. Alder,et al.  Studies in Molecular Dynamics. I. General Method , 1959 .

[27]  M. Karplus,et al.  Dynamics of folded proteins , 1977, Nature.

[28]  R. A. Scott,et al.  Monte Carlo Calculations on Polypeptide Chains. III. Multistate per Residue Hard Sphere Models for Randomly Coiling Polyglycine and Poly‐l‐alanine , 1971 .

[29]  Meirovitch Computer simulation of the free energy of polymer chains with excluded volume and with finite interactions. , 1985, Physical review. A, General physics.

[30]  H. Meirovitch Scanning method with a mean-field parameter: computer simulation study of critical exponents of self-avoiding walks on a square lattice , 1985 .

[31]  H. Berendsen,et al.  Free energy determination of polypeptide conformations generated by molecular dynamics , 1984 .

[32]  Harold A. Scheraga,et al.  Analysis of the Contribution of Internal Vibrations to the Statistical Weights of Equilibrium Conformations of Macromolecules , 1969 .

[33]  D. Osguthorpe,et al.  Monte Carlo simulation of water behavior around the dipeptide N-acetylalanyl-N-methylamide. , 1980, Science.

[34]  H. Meirovitch Computer simulation study of hysteresis and free energy in the fcc Ising antiferromagnet , 1984 .

[35]  R. Levy,et al.  Corrections to the quasiharmonic approximation for evaluating molecular entropies , 1986 .

[36]  K. Schmidt Using renormalization-group ideas in Monte Carlo sampling , 1983 .

[37]  David Chandler,et al.  Comment on the role of constraints on the conformational structure of n‐butane in liquid solvents , 1979 .

[38]  Hagai Meirovitch Method for estimating the entropy of macromolecules with computer simulation. Chains with excluded volume , 1983 .

[39]  H. Scheraga,et al.  Energy parameters in polypeptides. VII. Geometric parameters, partial atomic charges, nonbonded interactions, hydrogen bond interactions, and intrinsic torsional potentials for the naturally occurring amino acids , 1975 .

[40]  H. Meirovitch Computer simulation of self-avoiding walks: Testing the scanning method , 1983 .

[41]  P. Flory Principles of polymer chemistry , 1953 .

[42]  M. Karplus,et al.  Evaluation of the configurational entropy for proteins: application to molecular dynamics simulations of an α-helix , 1984 .

[43]  H. Meirovitch Calculation of entropy with computer simulation methods , 1977 .