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1.
J Chem Phys ; 140(8): 084110, 2014 Feb 28.
Article in English | MEDLINE | ID: mdl-24588151

ABSTRACT

Accurate values of the free energies of C60 and C70 fullerene crystals are obtained using expanded ensemble method and acceptance ratio method combined with the Einstein-molecule approach. Both simulation methods, when tested for Lennard-Jones crystals, give accurate results of the free energy differing from each other in the fifth significant digit. The solid-solid phase transition temperature of C60 crystal is determined from free energy profiles, and found to be 260 K, which is in good agreement with experiment. For C70 crystal, using the potential model of Sprik et al. [Phys. Rev. Lett. 69, 1660 (1992)], low-temperature solid-solid phase transition temperature is found to be 160 K determined from the free energy profiles. Whereas this is somewhat lower than the experimental value, it is in agreement with conventional molecular simulations, which validates the methodological consistency of the present simulation method. From the calculations of the free energies of C60 and C70 crystals, we note the significance of symmetry number for crystal phase needed to properly account for the indistinguishability of orientationally disordered states.

2.
J Chem Phys ; 131(7): 074103, 2009 Aug 21.
Article in English | MEDLINE | ID: mdl-19708728

ABSTRACT

In this work, the chemical potentials of organic compounds in dense liquid phases are calculated by using expanded ensemble Monte Carlo simulations. To make insertion of a solute molecule efficiently, Lennard-Jones size parameters and bond lengths are varied with coupling parameter. A robust adaptive scheme is proposed in order to determine biasing weights during the simulation, which enhances the efficiency and applicability of the expanded ensemble method. Using the proposed simulation technique, chemical potentials of organic molecules in dense liquid phases are obtained from a single run of simulation. The excess chemical potentials of several hydrocarbon molecules including n-alkanes, benzene, toluene, and ethanol in aqueous phases at infinite dilution as well as in their pure liquid phases are calculated at 298 K and 1 atm, and simulation results are compared with experimental data.

3.
J Phys Chem B ; 111(8): 2098-106, 2007 Mar 01.
Article in English | MEDLINE | ID: mdl-17269814

ABSTRACT

The solvation free energies of amino acids and their side-chain analogues in water and cyclohexane are calculated by using Monte Carlo simulation. The molecular interactions are described by the OPLS-AA force field for the amino acids and the TIP4P model for water, and the free energies are determined by using the Bennett acceptance method. Results for the side-chain analogues in cyclohexane and in water are used to evaluate the performance of the force field for the van der Waals and the electrostatic interactions, respectively. Comparison of the calculated hydration free energies for the amino acid analogues and the full amino acids allows assessment of the additivity of the side chain contributions on the number of hydrating water molecules. The hydration free energies of neutral amino acids can be reasonably approximated by adding the contributions of their side chains to that of the hydration of glycine. However, significant nonadditivity in the free energy is found for the zwitterionic form of amino acids with polar side chains. In serine and threonine, intramolecular hydrogen bonds are formed between the polar side chains and backbone groups, leading to weaker solvation than for glycine. In contrast, such nonadditivity is not observed in tyrosine, in which the hydroxyl group is farther separated from, and therefore cannot form an intramolecular hydrogen bond with, the backbone. For histidine we find that a water molecule can form a bridge when the intramolecular hydrogen bond between the polar group and the backbone is broken.


Subject(s)
Amino Acids/chemistry , Computer Simulation , Cyclohexanes/chemistry , Water/chemistry , Hydrogen Bonding , Monte Carlo Method , Static Electricity
4.
J Chem Phys ; 125(5): 054705, 2006 Aug 07.
Article in English | MEDLINE | ID: mdl-16942239

ABSTRACT

The free energies of the orientationally ordered crystal phase of C60 at low temperatures and the disordered crystal phase at high temperatures are calculated to an accuracy of +/-0.05 kJ/mol using the expanded ensemble Monte Carlo method with the potential model of Sprik et al. [J. Phys. Chem. 96, 2027 (1992)]. The order-disorder transition temperature at zero pressure is determined directly from these free energies, and is found to be consistent with the abrupt changes in configurational energy and unit cell size also found in simulation. A modification of the potential results in predictions of the transition temperature of 257 K and the entropy change of 18.1 J/mol K at this transition, which are in good agreement with the experimental values of 260 K and 19 J/mol K, respectively. The orientational distinguishability in the ordered phase and the indistinguishability in the disordered phase lead to a contribution to the entropy difference of k ln 60, with 60 being the symmetry number of C60. This quantum mechanical correction is important for the accurate prediction of the phase transition properties of the C60 crystals.

5.
J Phys Chem B ; 109(41): 19507-15, 2005 Oct 20.
Article in English | MEDLINE | ID: mdl-16853520

ABSTRACT

We have studied the thermodynamic properties of hen egg white lysozyme crystals using a novel simulation method combining atomistic Monte Carlo simulation to calculate van der Waals interactions and the boundary element method to solve the Poisson-Boltzmann equation for the electrostatic interactions. For computational simplicity, we treat the protein as a rigid body, using the crystallographic coordinates of all non-hydrogen atoms of the protein to describe the detailed shape. NVT Monte Carlo simulations are carried out for tetragonal and orthorhombic crystals to obtain the van der Waals energy, incorporating an implicit solvation effect. For crystal phases, an optimally linearized Poisson-Boltzmann equation is used to include the effect of the Donnan equilibrium of the salt ions. The Helmholtz energy is obtained from expanded ensemble Monte Carlo simulations. By using the force field parameters that had previously been tuned for the solution properties, reasonable agreement with experiment is found for the crystallization energy of the tetragonal form. The prediction of the entropy is also reasonable with a slight underestimation suggesting the release of a few water molecules per protein during the crystallization. However, the predictions of the properties of the orthorhombic crystal are poor, probably due to differences in the solvation structure as indicated by experiments, and also as a result of the approximate force field used.


Subject(s)
Muramidase/chemistry , Algorithms , Computer Simulation , Crystallization , Hydrogen-Ion Concentration , Models, Chemical , Models, Molecular , Monte Carlo Method , Reproducibility of Results , Thermodynamics
6.
J Chem Phys ; 121(15): 7474-83, 2004 Oct 15.
Article in English | MEDLINE | ID: mdl-15473822

ABSTRACT

We propose Lennard-Jones potential parameters for interatomic interactions of linear and branched alkanes based on matching the results of Gibbs ensemble simulations of vapor-liquid equilibria to experimental data. The alkane model is similar as in the OPLS-AA, but multiple atom types for carbon based on the number of covalently bonded hydrogen atoms are necessary to accurately reproduce liquid densities and enthalpies of vaporization with the errors of 2.1% and 3.3%, respectively, for hydrocarbons of various chain lengths and structures. We find that the attraction energies of the carbon atoms are almost proportional to the number of covalent hydrogen atoms with each increasing the carbon energy parameter by approximately 0.033 kcal/mol. Though the present force field outperforms the OPLS-AA force field for alkanes we studied, systematic deviations for vapor pressures are still observed with errors of 15%-30%, and critical temperatures are slightly underestimated. We think that these shortcomings are probably due to the inadequacy of the two-parameter Lennard-Jones potential, and especially its behavior at short distances.

7.
J Chem Phys ; 120(6): 3003-14, 2004 Feb 08.
Article in English | MEDLINE | ID: mdl-15268448

ABSTRACT

Protein crystallization conditions are usually identified by empirical screening methods because of the complexity of the process, such as the existence of nonequilibrium phases and the different crystal forms that may result from changes in solution conditions. Here the crystallization of a model protein is studied using computer simulation. The model consists of spheres that have both an isotropic interaction of short range and anisotropic interactions between patch-antipatch pairs. The free energy of a protein crystal is calculated using expanded ensemble simulations of the Einstein crystal, and NpT-Monte Carlo simulations with histogram reweighting are used to determine the fluid-solid coexistence. The histogram reweighting method is also used to trace out the complete coexistence curve, including multiple crystal phases, with varying reduced temperature, which corresponds to changing solution conditions. At a patch-antipatch interaction strength five times that of the isotropic interaction, the protein molecules form a stable simple cubic structure near room temperature, whereas an orientationally disordered face-centered-cubic structure is favored at higher temperatures. The anisotropic attractions also lead to a weak first-order transition between orientationally disordered and ordered face-centered-cubic structures at low temperature, although this transition is metastable. A complete phase diagram, including a fluid phase, three solid phases, and two triple points, is found for the six-patch protein model. A 12-patch protein model, consistent with the face-centered-cubic structure, leads to greater thermodynamic stability of the ordered phase. Metastable liquid-liquid phase equilibria for isotropic models with varying attraction tails are also predicted from Gibbs ensemble simulations.


Subject(s)
Crystallization/methods , Models, Chemical , Models, Molecular , Proteins/chemistry , Proteins/ultrastructure , Solvents/chemistry , Models, Statistical , Phase Transition , Protein Conformation , Solutions
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