The latest DisProt version, DisProt 9,4 includes more than 2300 protein entries and more than 4500 pieces of evidence of structural state, state transitions, interactions and functions, along with more than 2500 scientific publications annotated.
DisProt entries are annotated by professional and community biocurators from experimental data published in scientific literature. The DisProt home page features examples of DisProt entries, i.e. p53 and Catenin beta-1, along with entries of proteins belonging to the SARS-CoV-2 virus, e.g. Nucleoprotein.
Starting 2020, DisProt releases ‘thematic datasets’ describing biological areas where IDPs are involved in and play a crucial role.5 All the entries belonging to these datasets are tagged with the name of the theme.
In the DisProt home page model organisms are represented by an icon, the name of the species and the number of DisProt entries belonging to each specific organism. Entries from the following organisms are accessible from the DisProt home page under the ‘Organisms’ section and can be downloaded as single files: Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomices cerevisiae, Escherichia coli, Arabidopsis thaliana, Drosophila melanogaster, Caenorhabditis elegans.
DisProt versions and releases include changes to the website and to the manually curated content of the database.
DisProt uses three different ontologies to annotate disordered regions, the Intrinsically Disordered Proteins Ontology (IDPO), the Evidence and Conclusion Ontology (ECO) and the Gene Ontology (GO). DisProt has a dedicated page for each IDPO term that include the identifier, name and definition of the term and cross-references to external ontologies, e.g. Gene Ontology. Each IDPO term page list all the DisProt entries annotated with that specific term.
Vucetic, Slobodan; Obradovic, Zoran; Vacic, Vladimir; Radivojac, Predrag; Peng, Kang; Iakoucheva, Lilia M.; Cortese, Marc S.; Lawson, J. David; Brown, Celeste J. (2005-01-01). "DisProt: a database of protein disorder". Bioinformatics. 21 (1): 137–140. doi:10.1093/bioinformatics/bth476. ISSN 1367-4803. PMID 15310560. https://doi.org/10.1093%2Fbioinformatics%2Fbth476 ↩
Sickmeier, Megan; Hamilton, Justin A.; LeGall, Tanguy; Vacic, Vladimir; Cortese, Marc S.; Tantos, Agnes; Szabo, Beata; Tompa, Peter; Chen, Jake (2007-01-01). "DisProt: the Database of Disordered Proteins". Nucleic Acids Research. 35 (Database issue): D786–793. doi:10.1093/nar/gkl893. ISSN 1362-4962. PMC 1751543. PMID 17145717. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751543 ↩
Quaglia, Federica; Mészáros, Bálint; Salladini, Edoardo; Hatos, András; Pancsa, Rita; Chemes, Lucía B.; Pajkos, Mátyás; Lazar, Tamas; Peña-Díaz, Samuel; Santos, Jaime; Ács, Veronika (2021-11-25). "DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation". Nucleic Acids Research. 50 (D1): D480 – D487. doi:10.1093/nar/gkab1082. ISSN 1362-4962. PMC 8728214. PMID 34850135. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728214 ↩
Piovesan, Damiano; Tabaro, Francesco; Mičetić, Ivan; Necci, Marco; Quaglia, Federica; Oldfield, Christopher J.; Aspromonte, Maria Cristina; Davey, Norman E.; Davidović, Radoslav (2016-11-28). "DisProt 7.0: a major update of the database of disordered proteins". Nucleic Acids Research. 45 (D1): D219 – D227. doi:10.1093/nar/gkw1056. ISSN 1362-4962. PMC 5210544. PMID 27899601. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210544 ↩
Hatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; Álvarez, Lucía; Aykac-Fas, Burcu; Bassot, Claudio; Benítez, Guillermo I.; Bevilacqua, Martina; Chasapi, Anastasia; Chemes, Lucia (2019). "DisProt: intrinsic protein disorder annotation in 2020". Nucleic Acids Research. 48 (D1): D269 – D276. doi:10.1093/nar/gkz975. PMC 7145575. PMID 31713636. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145575 ↩
Kovačević JJ (June 2012). "Computational analysis of position-dependent disorder content in DisProt database". Genomics Proteomics Bioinformatics. 10 (3): 158–65. doi:10.1016/j.gpb.2012.01.002. PMC 5056116. PMID 22917189. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056116 ↩