Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/99827
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | The interface of protein structure, protein biophysics, and molecular evolution |
Autor: | Liberles, David A.; Bastolla, Ugo CSIC ORCID; Whelan, Simon | Palabras clave: | Protein dynamics Sequence-structure-function relationships Ancestral sequence reconstruction Evolutionary modeling Protein thermodynamics Gene duplication Protein expression Domain evolution |
Fecha de publicación: | 2012 | Editor: | Cold Spring Harbor Laboratory Press | Citación: | Protein Science 21: 769- 785 (2012) | Resumen: | The interface of protein structural biology, protein biophysics, molecular evolution, and molecular population genetics forms the foundations for a mechanistic understanding of many aspects of protein biochemistry. Current efforts in interdisciplinary protein modeling are in their infancy and the state-of-the art of such models is described. Beyond the relationship between amino acid substitution and static protein structure, protein function, and corresponding organismal fitness, other considerations are also discussed. More complex mutational processes such as insertion and deletion and domain rearrangements and even circular permutations should be evaluated. The role of intrinsically disordered proteins is still controversial, but may be increasingly important to consider. Protein geometry and protein dynamics as a deviation from static considerations of protein structure are also important. Protein expression level is known to be a major determinant of evolutionary rate and several considerations including selection at the mRNA level and the role of interaction specificity are discussed. Lastly, the relationship between modeling and needed high-throughput experimental data as well as experimental examination of protein evolution using ancestral sequence resurrection and in vitro biochemistry are presented, towards an aim of ultimately generating better models for biological inference and prediction. © 2012 The Protein Society. | URI: | http://hdl.handle.net/10261/99827 | DOI: | 10.1002/pro.2071 | Identificadores: | doi: 10.1002/pro.2071 issn: 0961-8368 |
Aparece en las colecciones: | (CBM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
100
checked on 11-abr-2024
SCOPUSTM
Citations
153
checked on 16-abr-2024
WEB OF SCIENCETM
Citations
145
checked on 29-feb-2024
Page view(s)
305
checked on 18-abr-2024
Download(s)
92
checked on 18-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.