RepeatsDB in 2021: Improved data and extended classification for protein tandem repeat structures

Lisanna Paladin, Martina Bevilacqua, Sara Errigo, Damiano Piovesan, Ivan Mičetić, Marco Necci, Alexander Miguel Monzon, Maria Laura Fabre, Jose Luis Lopez, Juliet F. Nilsson, Javier Rios, Pablo Lorenzano Menna, Maia Cabrera, Martin Gonzalez Buitron, Mariane Gonçalves Kulik, Sebastian Fernandez-Alberti, Maria Silvina Fornasari, Gustavo Parisi, Antonio Lagares, Layla HirshMiguel A. Andrade-Navarro, Andrey V. Kajava, Silvio C.E. Tosatto

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

27 Citas (Scopus)

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.

Idioma originalInglés
Páginas (desde-hasta)D452-D457
PublicaciónNucleic Acids Research
Volumen49
N.ºD1
DOI
EstadoPublicada - 8 ene. 2021

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