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Protein Folding with Implicit Crowders: A Study of Conformational States Using the Wang−Landau Method
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    Protein Folding with Implicit Crowders: A Study of Conformational States Using the Wang−Landau Method
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    Department of Physics, Drexel University, Philadelphia, Pennsylvania 19104, United States
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    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2011, 115, 9, 2006–2013
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    https://doi.org/10.1021/jp107809r
    Published February 14, 2011
    Copyright © 2011 American Chemical Society

    Abstract

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    In this paper we introduce the idea of the implicit crowding method to study the statistical mechanical behaviors of folding of β-sheet peptides. Using a simple bead-lattice model, we are able to consider, separately, the conformational entropy involving the bond angles along the backbone and the orientational entropy associated with the dihedral angles. We use a Ising-like model to partially account for the dihedral angle entropy and, implicitly, the hydrogen-bond formations. We also compare our results to recent experiments and find good quantitative agreement on the predicted folded fraction. On the basis of the predictions from the scaled particle theory, we investigate changes in the melting temperature of the protein, suggesting crowding enhanced stability for a variant of trpzip hairpin and a slight instability for the larger β-sheet designed proteins.

    Copyright © 2011 American Chemical Society

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    Cited By

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    This article is cited by 8 publications.

    1. Alan R. Denton, Wyatt J. Davis. Influence of solvent quality on depletion potentials in colloid–polymer mixtures. The Journal of Chemical Physics 2021, 155 (8) https://doi.org/10.1063/5.0061370
    2. Mark P. Taylor, Christopher Vinci, Ryogo Suzuki. Effects of macromolecular crowding on the folding of a polymer chain: A Wang–Landau simulation study. The Journal of Chemical Physics 2020, 153 (17) https://doi.org/10.1063/5.0025640
    3. Wei Kang Lim, Alan R. Denton. Depletion-induced forces and crowding in polymer-nanoparticle mixtures: Role of polymer shape fluctuations and penetrability. The Journal of Chemical Physics 2016, 144 (2) https://doi.org/10.1063/1.4939766
    4. Wei Kang Lim, Alan R. Denton. Influence of polymer shape on depletion potentials and crowding in colloid–polymer mixtures. Soft Matter 2016, 12 (8) , 2247-2252. https://doi.org/10.1039/C5SM02863A
    5. Alan R. Denton. Crowding in Polymer–Nanoparticle Mixtures. 2014, 27-71. https://doi.org/10.1016/B978-0-12-800046-5.00003-5
    6. Angelo Onofrio, Giovanni Parisi, Giuseppe Punzi, Simona Todisco, Maria Antonietta Di Noia, Fabrizio Bossis, Antonio Turi, Anna De Grassi, Ciro Leonardo Pierri. Distance-dependent hydrophobic–hydrophobic contacts in protein folding simulations. Phys. Chem. Chem. Phys. 2014, 16 (35) , 18907-18917. https://doi.org/10.1039/C4CP01131G
    7. Travis Hoppe. A simplified representation of anisotropic charge distributions within proteins. The Journal of Chemical Physics 2013, 138 (17) https://doi.org/10.1063/1.4803099
    8. Junqi Yin, D.P. Landau. Massively parallel Wang–Landau sampling on multiple GPUs. Computer Physics Communications 2012, 183 (8) , 1568-1573. https://doi.org/10.1016/j.cpc.2012.02.023

    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2011, 115, 9, 2006–2013
    Click to copy citationCitation copied!
    https://doi.org/10.1021/jp107809r
    Published February 14, 2011
    Copyright © 2011 American Chemical Society

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