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dc.contributor.author
Craig, Patricio Oliver
dc.contributor.author
Lätzer, Joachim
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Weinkam, Patrick
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Hoffman, Ryan M. B.
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Ferreiro, Diego
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Komives, Elizabeth A.
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Wolynes, Peter G.
dc.date.available
2017-03-14T14:33:45Z
dc.date.issued
2011
dc.identifier.citation
Craig, Patricio Oliver; Lätzer, Joachim; Weinkam, Patrick; Hoffman, Ryan M. B.; Ferreiro, Diego; et al.; Prediction of native-state hydrogen exchange from perfectly funneled energy landscapes; American Chemical Society; Journal Of The American Chemical Society; 133; 43; -1-2011; 17463-17472
dc.identifier.issn
0002-7863
dc.identifier.uri
http://hdl.handle.net/11336/13824
dc.description.abstract
Simulations based on perfectly funneled energy landscapes often capture many of the kinetic features of protein folding. We examined whether simulations based on funneled energy functions can also describe fluctuations in native-state protein ensembles. We quantitatively compared the site-specific local stability determined from structure-based folding simulations, with hydrogen exchange protection factors measured experimentally for ubiquitin, chymotrypsin inhibitor 2, and staphylococcal nuclease. Different structural definitions for the open and closed states based on the number of native contacts for each residue, as well as the hydrogen-bonding state, or a combination of both criteria were evaluated. The predicted exchange patterns agree with the experiments under native conditions, indicating that protein topology indeed has a dominant effect on the exchange kinetics. Insights into the simplest mechanistic interpretation of the amide exchange process were thus obtained.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Protein Folding
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Hydrogen Exchange
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Energy Landscape
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Coarse Grain Models
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Biofísica
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
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Biofísica
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Prediction of native-state hydrogen exchange from perfectly funneled energy landscapes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-02-07T13:52:40Z
dc.journal.volume
133
dc.journal.number
43
dc.journal.pagination
17463-17472
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Craig, Patricio Oliver. Fundación Instituto Leloir; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. University of California San Diego. Department of Chemistry and Biochemistry; Estados Unidos
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Fil: Lätzer, Joachim. Rutgers University. BioMaPS Institute; Estados Unidos
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Fil: Weinkam, Patrick. University of California at San Francisco. Department of Bioengineering and Therapeutic Sciences; Estados Unidos
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Fil: Hoffman, Ryan M. B.. University Of California At San Diego; Estados Unidos
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Fil: Ferreiro, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales; Argentina
dc.description.fil
Fil: Komives, Elizabeth A.. University Of California At San Diego; Estados Unidos
dc.description.fil
Fil: Wolynes, Peter G.. University Of California At San Diego; Estados Unidos
dc.journal.title
Journal Of The American Chemical Society
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ja207506z
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ja207506z
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203634/
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