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    Influence of protein charge patches on the structure of protein-polyelectrolyte complexes

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    Type
    Article
    Authors
    Samanta, Rituparna
    Ganesan, Venkat cc
    KAUST Grant Number
    OSR-2016-CRG5-2993-1
    Date
    2018-11-15
    Permanent link to this record
    http://hdl.handle.net/10754/678627
    
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    Abstract
    We employ a combination of the single chain in mean field simulation approach with the solution of Poisson's equation to study the influence of charge heterogeneities on the structure of protein–polyelectrolyte complexes. By adopting a coarse-grained model of representing proteins as charged nanoparticles, we studied the influence of the pattern of charge heterogeneities, net charge, ratio of positive to negative charges on the patches, and the volume fraction of the particles on the structural and aggregation characteristics of proteins in polyelectrolyte solutions. Our results demonstrate that the pattern of charge heterogeneities can exert a significant influence on the resulting characteristics of the aggregates, in some cases leading to a transformation from polymer-bridged complexes into direct particle aggregates driven by the attraction between oppositely charged patches.
    Citation
    Samanta, R., & Ganesan, V. (2018). Influence of protein charge patches on the structure of protein–polyelectrolyte complexes. Soft Matter, 14(46), 9475–9488. doi:10.1039/c8sm01535j
    Sponsors
    We are grateful to Prof. Bradley Olsen for discussions which motivated this work. We also thank Justin Leung for performing some of the simulations on polyampholyte particles. We acknowledge funding in part by grants from the Robert A. Welch Foundation (Grant F1599), the National Science Foundation (DMR-1721512), King Abdullah University of Science and Technology (OSR-2016-CRG5-2993-1). Acknowledgment is also made to the Donors of the American Chemical Society Petroleum Research Fund for partial support of this research (56715-ND9). We acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for computing resources that contributed to the research results reported within this paper.
    Publisher
    ROYAL SOC CHEMISTRY
    Journal
    SOFT MATTER
    DOI
    10.1039/c8sm01535j
    Additional Links
    http://xlink.rsc.org/?DOI=C8SM01535J
    ae974a485f413a2113503eed53cd6c53
    10.1039/c8sm01535j
    Scopus Count
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