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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
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