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Identification of Key Hinge Residues Important for Nucleotide-Dependent Allostery in E. coli Hsp70/DnaK

Overview of attention for article published in PLoS Computational Biology, November 2013
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Title
Identification of Key Hinge Residues Important for Nucleotide-Dependent Allostery in E. coli Hsp70/DnaK
Published in
PLoS Computational Biology, November 2013
DOI 10.1371/journal.pcbi.1003279
Pubmed ID
Authors

Peter Man-Un Ung, Andrea D. Thompson, Lyra Chang, Jason E. Gestwicki, Heather A. Carlson

Abstract

DnaK is a molecular chaperone that has important roles in protein folding. The hydrolysis of ATP is essential to this activity, and the effects of nucleotides on the structure and function of DnaK have been extensively studied. However, the key residues that govern the conformational motions that define the apo, ATP-bound, and ADP-bound states are not entirely clear. Here, we used molecular dynamics simulations, mutagenesis, and enzymatic assays to explore the molecular basis of this process. Simulations of DnaK's nucleotide-binding domain (NBD) in the apo, ATP-bound, and ADP/Pi-bound states suggested that each state has a distinct conformation, consistent with available biochemical and structural information. The simulations further suggested that large shearing motions between subdomains I-A and II-A dominated the conversion between these conformations. We found that several evolutionally conserved residues, especially G228 and G229, appeared to function as a hinge for these motions, because they predominantly populated two distinct states depending on whether ATP or ADP/Pi was bound. Consistent with the importance of these "hinge" residues, alanine point mutations caused DnaK to have reduced chaperone activities in vitro and in vivo. Together, these results clarify how sub-domain motions communicate allostery in DnaK.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 10 22%
Student > Bachelor 5 11%
Other 5 11%
Student > Master 5 11%
Other 7 16%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 38%
Biochemistry, Genetics and Molecular Biology 15 33%
Chemistry 6 13%
Physics and Astronomy 4 9%
Engineering 1 2%
Other 0 0%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2013.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,570
of 8,964 outputs
Outputs of similar age
#277,859
of 315,555 outputs
Outputs of similar age from PLoS Computational Biology
#138
of 146 outputs
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