Publicación

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 Monzón · María Laura Fabre · José Luis López · Juliet F. Nilsson
2020 Nucleic Acids Research DOI: 10.1093/nar/gkaa1097

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.

Autores y colaboradores

Authors

Lisanna Paladin
Martina Bevilacqua
Sara Errigo
Damiano Piovesan
Ivan Mičetić
Marco Necci
Alexander Miguel Monzón
María Laura Fabre
José Luis López
Juliet F. Nilsson

Palabras clave

UniProt Tandem repeat Annotation Biology Computational biology Estructuras proteicas Bases de datos biológicas