Literature DB >> 32672952

Effect of Protein Surface Charge Distribution on Protein-Polyelectrolyte Complexation.

Sieun Kim1, Hursh V Sureka1, A Basak Kayitmazer2, Gang Wang1, James W Swan1, Bradley D Olsen1.   

Abstract

Charge anisotropy or the presence of charge patches at protein surfaces has long been thought to shift the coacervation curves of proteins and has been used to explain the ability of some proteins to coacervate on the "wrong side" of their isoelectric point. This work makes use of a panel of engineered superfolder green fluorescent protein mutants with varying surface charge distributions but equivalent net charge and a suite of strong and weak polyelectrolytes to explore this concept. A patchiness parameter, which assessed the charge correlation between points on the surface of the protein, was used to quantify the patchiness of the designed mutants. Complexation between the polyelectrolytes and proteins showed that the mutant with the largest patchiness parameter was the most likely to form complexes, while the smallest was the least likely to do so. The patchiness parameter was found to correlate well with the phase behavior of the protein-polymer mixtures, where both macrophase separation and the formation of soluble aggregates were promoted by increasing the patchiness depending on the polyelectrolyte with which the protein was mixed. Increasing total charge and increasing strength of the polyelectrolyte promote interactions for oppositely charged polyelectrolytes, while charge regulation is also key to interactions for similarly charged polyelectrolytes, which must interact selectively with oppositely charged patches.

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Year:  2020        PMID: 32672952     DOI: 10.1021/acs.biomac.0c00346

Source DB:  PubMed          Journal:  Biomacromolecules        ISSN: 1525-7797            Impact factor:   6.988


  2 in total

1.  Measuring how two proteins affect each other's net charge in a crowded environment.

Authors:  Chad M Dashnaw; Jordan C Koone; Alireza Abdolvahabi; Bryan F Shaw
Journal:  Protein Sci       Date:  2021-05-12       Impact factor: 6.993

2.  Functional enzyme-polymer complexes.

Authors:  Curt Waltmann; Carolyn E Mills; Jeremy Wang; Baofu Qiao; John M Torkelson; Danielle Tullman-Ercek; Monica Olvera de la Cruz
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-21       Impact factor: 12.779

  2 in total

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