% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Cantarella:306533,
      author       = {S. Cantarella$^*$ and J. Neffe$^*$ and M. Hermes$^*$ and F.
                      Rauscher$^*$ and R. Schwarz$^*$ and P. Jaisankar$^*$ and E.
                      Schäfer$^*$ and M. Caudron-Herger$^*$},
      title        = {{RBP}2{GO} 2.0: {I}ntegrating disease associations and
                      sequence features to explore {RNA}-binding protein
                      functions.},
      journal      = {Nucleic acids research},
      volume       = {nn},
      issn         = {0305-1048},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {DKFZ-2025-02598},
      pages        = {nn},
      year         = {2025},
      note         = {ISSN 1362-4962 / #EA:B150#LA:B150# / epub},
      abstract     = {RNA-binding proteins (RBPs) play key roles in a wide range
                      of biological processes and human diseases. Here, we updated
                      RBP2GO, a comprehensive resource on RBPs, their binding
                      partners, and functions across 13 species. The database
                      RBP2GO 2.0 now provides additional information on disease
                      ontology to better relate RBP functions to their impact in
                      human diseases. It also integrates knowledge from new
                      proteome-wide RBP studies and provides specific information
                      on sequence features through intuitive cartoon-style
                      representations, such as associated RNA-binding peptides,
                      when available. Existing eCLIP/iCLIP datasets from ENCODE
                      have been linked to the corresponding proteins, along with
                      RNA dependence information from the R-DeeP database. Protein
                      characterization is further supported by two scores, the
                      RBP2GO Score and the RBP2GO Composite Score, which reflect
                      the probability that the protein binds to RNA. The scores
                      are now visualized using violin plot distributions for the
                      whole proteome of each species. The redesigned user
                      interface enables intuitive searches for protein names, gene
                      ontology terms, disease ontology terms, and protein domains
                      directly from the Home page and provides extended, versatile
                      search options via the Advanced Search module. RBP2GO 2.0
                      serves as a valuable tool for investigating new RBP
                      functions and is publicly accessible at
                      https://RBP2GOv2.dkfz.de.},
      cin          = {B150},
      ddc          = {570},
      cid          = {I:(DE-He78)B150-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41277526},
      doi          = {10.1093/nar/gkaf1258},
      url          = {https://inrepo02.dkfz.de/record/306533},
}