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dc.contributor.author
Monzón, Alexander  
dc.contributor.author
Zea, Diego Javier  
dc.contributor.author
Marino, Cristina Ester  
dc.contributor.author
Parisi, Gustavo Daniel  
dc.date.available
2018-04-09T19:25:13Z  
dc.date.issued
2017-11  
dc.identifier.citation
Monzón, Alexander; Zea, Diego Javier; Marino, Cristina Ester; Parisi, Gustavo Daniel; Homology modeling in a dynamical world; John Wiley & Sons Inc; Protein Science; 26; 11; 11-2017; 2195-2206  
dc.identifier.issn
0961-8368  
dc.identifier.uri
http://hdl.handle.net/11336/41402  
dc.description.abstract
A key concept in template‐based modeling (TBM) is the high correlation between sequence and structural divergence, with the practical consequence that homologous proteins that are similar at the sequence level will also be similar at the structural level. However, conformational diversity of the native state will reduce the correlation between structural and sequence divergence, because structural variation can appear without sequence diversity. In this work, we explore the impact that conformational diversity has on the relationship between structural and sequence divergence. We find that the extent of conformational diversity can be as high as the maximum structural divergence among families. Also, as expected, conformational diversity impairs the well‐established correlation between sequence and structural divergence, which is nosier than previously suggested. However, we found that this noise can be resolved using a priori information coming from the structure‐function relationship. We show that protein families with low conformational diversity show a well‐correlated relationship between sequence and structural divergence, which is severely reduced in proteins with larger conformational diversity. This lack of correlation could impair TBM results in highly dynamical proteins. Finally, we also find that the presence of order/disorder can provide useful beforehand information for better TBM performance.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
John Wiley & Sons Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Protein Structure  
dc.subject
Homology Modeling  
dc.subject
Protein Dynamics  
dc.subject
Conformational Diversity  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Homology modeling in a dynamical world  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-04-09T15:04:59Z  
dc.journal.volume
26  
dc.journal.number
11  
dc.journal.pagination
2195-2206  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Hoboken  
dc.description.fil
Fil: Monzón, Alexander. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Zea, Diego Javier. Fundación Instituto Leloir; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Marino, Cristina Ester. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Instituto Leloir; Argentina  
dc.description.fil
Fil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.journal.title
Protein Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/pro.3274  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/pro.3274