Artículo
RepeatsDB in 2021: Improved data and extended classification for protein tandem repeat structures
Paladin, Lisanna; Bevilacqua, Martina; Errigo, Sara; Piovesan, Damiano; Mičetić, Ivan; Necci, Marco; Monzon, Alexander Miguel; Fabre, Maria Laura
; López, José Luis
; Nilsson, Juliet Fernanda
; Ríos, Javier Sebastián
; Lorenzano Menna, Pablo
; Cabrera, Maia Diana Eliana
; González Buitrón, Martín
; Gonçalves Kulik, Mariane; Fernández Alberti, Sebastián
; Fornasari, Maria Silvina
; Parisi, Gustavo Daniel
; Lagares, Antonio
; Hirsh, Layla; Andrade Navarro, Miguel A.; Kajava, Andrey V; Tosatto, Silvio C E
Fecha de publicación:
01/2021
Editorial:
Oxford University Press
Revista:
Nucleic Acids Research
ISSN:
0305-1048
e-ISSN:
1362-4962
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The RepeatsDB database (URL: https://repeatsdb.org/) provides annotations and classification for protein tandem repeat structures from the Protein Data Bank (PDB). Protein tandem repeats are ubiquitous in all branches of the tree of life. The accumulation of solved repeat structures provides new possibilities for classification and detection, but also increasing the need for annotation. Here we present RepeatsDB 3.0, which addresses these challenges and presents an extended classification scheme. The major conceptual change compared to the previous version is the hierarchical classification combining top levels based solely on structural similarity (Class > Topology > Fold) with two new levels (Clan > Family) requiring sequence similarity and describing repeat motifs in collaboration with Pfam. Data growth has been addressed with improved mechanisms for browsing the classification hierarchy. A new UniProt-centric view unifies the increasingly frequent annotation of structures from identical or similar sequences. This update of RepeatsDB aligns with our commitment to develop a resource that extracts, organizes and distributes specialized information on tandem repeat protein structures.
Palabras clave:
REPETITIVAS
,
DISORDER
,
EVOLUCION
,
Database
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IBBM)
Articulos de INST.DE BIOTECNOLOGIA Y BIOLOGIA MOLECULAR
Articulos de INST.DE BIOTECNOLOGIA Y BIOLOGIA MOLECULAR
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Paladin, Lisanna; Bevilacqua, Martina; Errigo, Sara; Piovesan, Damiano; Mičetić, Ivan; et al.; RepeatsDB in 2021: Improved data and extended classification for protein tandem repeat structures; Oxford University Press; Nucleic Acids Research; 49; D1; 1-2021; 452-457
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