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The Journal of Chemical Physics
Article . 2021 . Peer-reviewed
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Characterizing protein kinase A (PKA) subunits as macromolecular regulators of PKA RIα liquid–liquid phase separation

Authors: Surl-Hee Ahn; Sanbo Qin; Jason Z. Zhang; J. Andrew McCammon; Jin Zhang; Huan-Xiang Zhou;

Characterizing protein kinase A (PKA) subunits as macromolecular regulators of PKA RIα liquid–liquid phase separation

Abstract

Researchers developed a method called fast Fourier transform (FFT)-based modeling of atomistic protein–protein interactions applied to cross second virial coefficient B23(FMAPB23) to characterize protein kinase A (PKA) subunits as macromolecular regulators of PKA RIα liquid-liquid phase separation. The cross second virial coefficient B23 was calculated for Mg2+-bound PKAcat [denoted as PKAcat(Mg2+)] and cAMP-bound RIα [denoted as RIa(cAMP)]. Five structures for the first molecule were taken from PDB: 6NO7 chains E and G, 3O7L chain B, and 4NTT chains A and B, while two structures for the second molecule were taken from 4MX3 chains A and B. The results from the total of ten runs were used to calculate a mean value and a standard error of the mean.

Country
United States
Keywords

Physical sciences, 570, Engineering, Chemical Physics, Chemical sciences, Cyclic AMP-Dependent Protein Kinase RIalpha Subunit, Chemical Sciences, Physical Sciences, Liquid-Liquid Extraction, 540, Dimerization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green