RepeatsDB in 2025: expanding annotations of Structured Tandem Repeats proteins on AlphaFoldDB - Centre de recherches de biochimie macromoléculaire
Article Dans Une Revue Nucleic Acids Research Année : 2024

RepeatsDB in 2025: expanding annotations of Structured Tandem Repeats proteins on AlphaFoldDB

Damiano Clementel
  • Fonction : Auteur
Paula Nazarena Arrías
  • Fonction : Auteur
Soroush Mozzafari
  • Fonction : Auteur
Zarifa Osmanli
  • Fonction : Auteur
Ximena Aixa Castro
  • Fonction : Auteur
Carlo Ferrari
  • Fonction : Auteur
Silvio C E Tosatto
  • Fonction : Auteur
  • PersonId : 1092155
Alexander Miguel Monzon

Résumé

RepeatsDB (URL: https://dev.repeatsdb.org ) stands as a key resource for the classification and annotation of Structured Tandem Repeat Proteins (STRPs), incorporating data from both the Protein Data Bank (PDB) and AlphaFoldDB. This latest release features substantial advancements, including annotations for over 34,000 unique protein sequences from more than 2,000 organisms, representing a fifteenfold increase in coverage. Leveraging state-of-the-art structural alignment tools, RepeatsDB now offers faster and more precise detection of STRPs across both experimental and predicted structures. Key improvements also include a redesigned user interface and enhanced web server, providing an intuitive browsing experience with improved data searchability and accessibility. A new statistics page allows users to explore database metrics based on repeat classifications, while API enhancements support scalability to manage the growing volume of data. These advancements not only refine the understanding of STRPs but also streamline annotation processes, further strengthening RepeatsDB’s role in advancing our understanding of STRP functions
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Dates et versions

hal-04783823 , version 1 (14-11-2024)

Identifiants

Citer

Damiano Clementel, Paula Nazarena Arrías, Soroush Mozzafari, Zarifa Osmanli, Ximena Aixa Castro, et al.. RepeatsDB in 2025: expanding annotations of Structured Tandem Repeats proteins on AlphaFoldDB. Nucleic Acids Research, 2024, ⟨10.1093/nar/gkae965⟩. ⟨hal-04783823⟩
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