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dc.contributor.author
Monzon, Alexander Miguel  
dc.contributor.author
Fornasari, Maria Silvina  
dc.contributor.author
Zea, Diego Javier  
dc.contributor.author
Parisi, Gustavo Daniel  
dc.contributor.other
Sikosek, Tobias  
dc.date.available
2020-11-12T12:55:45Z  
dc.date.issued
2019  
dc.identifier.citation
Monzon, Alexander Miguel; Fornasari, Maria Silvina; Zea, Diego Javier; Parisi, Gustavo Daniel; Exploring Protein Conformational Diversity; Springer; 2019; 353-365  
dc.identifier.isbn
978-1-4939-8735-1  
dc.identifier.uri
http://hdl.handle.net/11336/118230  
dc.description.abstract
The native state of proteins is composed of conformers in dynamical equilibrium. In this chapter, different issues related to conformational diversity are explored using a curated and experimentally based database called CoDNaS (Conformational Diversity in the Native State). This database is a collection of redundant structures for the same sequence. CoDNaS estimates the degree of conformational diversity using different global and local structural similarity measures. It allows the user to explore how structural differences among conformers change as a function of several structural features providing further biological information. This chapter explores the measurement of conformational diversity and its relationship with sequence divergence. Also, it discusses how proteins with high conformational diversity could affect homology modeling techniques.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Proteinas  
dc.subject
Conformaciones  
dc.subject
Estructura  
dc.subject.classification
Biología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Exploring Protein Conformational Diversity  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2020-11-09T19:23:42Z  
dc.journal.pagination
353-365  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Monzon, Alexander Miguel. Universidad Nacional de Quilmes; Argentina  
dc.description.fil
Fil: Fornasari, Maria Silvina. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Zea, Diego Javier. 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; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/book/10.1007/978-1-4939-8736-8  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-1-4939-8736-8  
dc.conicet.paginas
500  
dc.source.titulo
Computational Methods in Protein Evolution