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dc.contributor.author
Schafer, Nicholas P.  
dc.contributor.author
Hoffman, Ryan M. B.  
dc.contributor.author
Burger, Anat  
dc.contributor.author
Craig, Patricio Oliver  
dc.contributor.author
Komives, Elizabeth A.  
dc.contributor.author
Wolynes, Peter G.  
dc.date.available
2020-02-20T23:18:24Z  
dc.date.issued
2012-12  
dc.identifier.citation
Schafer, Nicholas P.; Hoffman, Ryan M. B.; Burger, Anat; Craig, Patricio Oliver; Komives, Elizabeth A.; et al.; Discrete Kinetic Models from Funneled Energy Landscape Simulations; Public Library of Science; Plos One; 7; 12; 12-2012; 1-8  
dc.identifier.issn
1932-6203  
dc.identifier.uri
http://hdl.handle.net/11336/98244  
dc.description.abstract
A general method for facilitating the interpretation of computer simulations of protein folding with minimally frustrated energy landscapes is detailed and applied to a designed ankyrin repeat protein (4ANK). In the method, groups of residues are assigned to foldons and these foldons are used to map the conformational space of the protein onto a set of discrete macrobasins. The free energies of the individual macrobasins are then calculated, informing practical kinetic analysis. Two simple assumptions about the universality of the rate for downhill transitions between macrobasins and the natural local connectivity between macrobasins lead to a scheme for predicting overall folding and unfolding rates, generating chevron plots under varying thermodynamic conditions, and inferring dominant kinetic folding pathways. To illustrate the approach, free energies of macrobasins were calculated from biased simulations of a non-additive structure-based model using two structurally motivated foldon definitions at the full and half ankyrin repeat resolutions. The calculated chevrons have features consistent with those measured in stopped flow chemical denaturation experiments. The dominant inferred folding pathway has an "inside-out", nucleation-propagation like character.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Public Library of Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
folding  
dc.subject
kinetics  
dc.subject
discrete  
dc.subject
energy landscape  
dc.subject.classification
Ciencias de la Información y Bioinformática  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Discrete Kinetic Models from Funneled Energy Landscape Simulations  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-02-07T13:39:58Z  
dc.journal.volume
7  
dc.journal.number
12  
dc.journal.pagination
1-8  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
San Francisco  
dc.description.fil
Fil: Schafer, Nicholas P.. Rice University; Estados Unidos. University of California at San Diego; Estados Unidos  
dc.description.fil
Fil: Hoffman, Ryan M. B.. University of California at San Diego; Estados Unidos. Rice University; Estados Unidos  
dc.description.fil
Fil: Burger, Anat. University of California at San Diego; Estados Unidos. Rice University; Estados Unidos  
dc.description.fil
Fil: Craig, Patricio Oliver. University of California at San Diego; Estados Unidos. Rice University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Komives, Elizabeth A.. University of California at San Diego; Estados Unidos  
dc.description.fil
Fil: Wolynes, Peter G.. Rice University; Estados Unidos. University of California at San Diego; Estados Unidos  
dc.journal.title
Plos One  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0050635  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pone.0050635