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Corresponding Functional Dynamics across the Hsp90 Chaperone Family: Insights from a Multiscale Analysis of MD Simulations

Overview of attention for article published in PLoS Computational Biology, March 2012
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Title
Corresponding Functional Dynamics across the Hsp90 Chaperone Family: Insights from a Multiscale Analysis of MD Simulations
Published in
PLoS Computational Biology, March 2012
DOI 10.1371/journal.pcbi.1002433
Pubmed ID
Authors

Giulia Morra, Raffaello Potestio, Cristian Micheletti, Giorgio Colombo

Abstract

Understanding how local protein modifications, such as binding small-molecule ligands, can trigger and regulate large-scale motions of large protein domains is a major open issue in molecular biology. We address various aspects of this problem by analyzing and comparing atomistic simulations of Hsp90 family representatives for which crystal structures of the full length protein are available: mammalian Grp94, yeast Hsp90 and E.coli HtpG. These chaperones are studied in complex with the natural ligands ATP, ADP and in the Apo state. Common key aspects of their functional dynamics are elucidated with a novel multi-scale comparison of their internal dynamics. Starting from the atomic resolution investigation of internal fluctuations and geometric strain patterns, a novel analysis of domain dynamics is developed. The results reveal that the ligand-dependent structural modulations mostly consist of relative rigid-like movements of a limited number of quasi-rigid domains, shared by the three proteins. Two common primary hinges for such movements are identified. The first hinge, whose functional role has been demonstrated by several experimental approaches, is located at the boundary between the N-terminal and Middle-domains. The second hinge is located at the end of a three-helix bundle in the Middle-domain and unfolds/unpacks going from the ATP- to the ADP-state. This latter site could represent a promising novel druggable allosteric site common to all chaperones.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 4 5%
Portugal 1 1%
Netherlands 1 1%
Germany 1 1%
Norway 1 1%
United States 1 1%
Unknown 68 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 42%
Student > Ph. D. Student 15 19%
Professor 6 8%
Student > Bachelor 4 5%
Student > Master 4 5%
Other 8 10%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Chemistry 16 21%
Biochemistry, Genetics and Molecular Biology 13 17%
Physics and Astronomy 5 6%
Mathematics 1 1%
Other 5 6%
Unknown 13 17%
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 23 March 2012.
All research outputs
#17,351,840
of 25,461,852 outputs
Outputs from PLoS Computational Biology
#7,494
of 8,981 outputs
Outputs of similar age
#113,035
of 172,871 outputs
Outputs of similar age from PLoS Computational Biology
#81
of 104 outputs
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