Literature DB >> 25583103

A computational study of the effect of matrix structural order on water sorption by Trp-cage miniproteins.

Sang Beom Kim1, Jeremy C Palmer, Pablo G Debenedetti.   

Abstract

We present the first simulation study of the impact of protein matrix structure on water sorption along with a new computational method to hydrate and dehydrate protein systems reversibly. To understand the impact of the underlying structure of the protein matrix on the hydration process, we compare three types of protein substrates comprised of Trp-cage miniproteins with varying degrees of monomer translational and orientational order and monomer denaturation. We show that the water sorption isotherms are qualitatively and quantitatively very similar for the Trp-cage matrices independently of the underlying degree of disorder, which is consistent with the experimental observation that the qualitative features of water sorption isotherms are nearly universal for globular proteins. We also show that the Trp-cage matrices with varying disorder share similar trends in volumetric swelling, solvent accessibility, and protein-water hydrogen bonding during the sorption processes, while hydrogen bonding between protein molecules depends sensitively on the matrix characteristics (crystal, powder, and thermally denatured powder). Volumetric swelling, solvent accessibility, and protein-water hydrogen bonds exhibit no hysteresis when plotted as a function of hydration level and are thus controlled exclusively by the protein's water content.

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Year:  2015        PMID: 25583103     DOI: 10.1021/jp510172w

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Computational investigation of dynamical transitions in Trp-cage miniprotein powders.

Authors:  Sang Beom Kim; Devansh R Gupta; Pablo G Debenedetti
Journal:  Sci Rep       Date:  2016-05-06       Impact factor: 4.379

2.  Effects of disulfide bridges and backbone connectivity on water sorption by protein matrices.

Authors:  Sang Beom Kim; Rakesh S Singh; Prem K C Paul; Pablo G Debenedetti
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

  2 in total

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