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      Determination of fluid--solid transitions in model protein solutions using the histogram reweighting method and expanded ensemble simulations.

      1 , ,
      The Journal of chemical physics
      AIP Publishing

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          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.

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          Most cited references29

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          New Monte Carlo method to compute the free energy of arbitrary solids. Application to the fcc and hcp phases of hard spheres

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            Enhancement of Protein Crystal Nucleation by Critical Density Fluctuations

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              Phase equilibria by simulation in the Gibbs ensemble

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                Author and article information

                Journal
                J Chem Phys
                The Journal of chemical physics
                AIP Publishing
                0021-9606
                0021-9606
                Feb 08 2004
                : 120
                : 6
                Affiliations
                [1 ] Center for Molecular and Engineering Thermodynamics, Department of Chemical Engineering, University of Delaware, Newark, Delaware 19716, USA.
                Article
                10.1063/1.1638377
                15268448
                2776ef96-9236-4038-ae3a-a6f769297ee0
                History

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