DisProt: intrinsic protein disorder annotation in 2020
Author(s) -
András Hatos,
Borbála Hajdu-Soltész,
Alexander Miguel Monzón,
Nicolás Palópoli,
Lucı́a Álvarez,
Burcu Aykaç Fas,
Claudio Bassot,
Guillermo Ignacio Benítez,
Martina Bevilacqua,
Anastasia Chasapi,
Lucía B. Chemes,
Norman E. Davey,
Radoslav Davidović,
A. Keith Dunker,
Arne Elofsson,
Julien Gobeill,
Nicolás S. González Foutel,
Govindarajan Sudha,
Mainak Guharoy,
Tamás Horváth,
Valentín Iglesias,
Andrey V. Kajava,
Orsolya Panna Kovacs,
John Lamb,
Matteo Lambrughi,
Tamás Lázár,
Jérémy Leclercq,
Emanuela Leonardi,
Sandra MacedoRibeiro,
Mauricio Macossay-Castillo,
Emiliano Maiani,
José A. Manso,
Cristina MarinoBuslje,
Elizabeth MartínezPérez,
Bálint Mészáros,
Ivan Mičetić,
Giovanni Minervini,
Nikoletta Murvai,
Marco Necci,
Christos Ouzounis,
Mátyás Pajkos,
Lisanna Paladin,
Rita Pancsa,
Elena Papaleo,
Gustavo Parisi,
Emilie Pasche,
Pedro José Barbosa Pereira,
Vasilis J. Promponas,
Jordi Pujols,
Federica Quaglia,
Patrick Ruch,
Marco Salvatore,
Éva Schád,
Beáta Szabó,
Tamás Szaniszló,
Stella Tamana,
Ágnes Tantos,
Nevena Veljković,
Salvador Ventura,
Wim Vranken,
Zsuzsanna Dosztányi,
Péter Tompa,
Silvio C. E. Tosatto,
Damiano Piovesan
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkz975
Subject(s) - annotation , interface (matter) , interoperability , ontology , gene ontology , computer science , proteome , information retrieval , flexibility (engineering) , graphical user interface , data curation , function (biology) , process (computing) , biology , world wide web , bioinformatics , programming language , gene , genetics , philosophy , gene expression , statistics , mathematics , bubble , epistemology , maximum bubble pressure method , parallel computing
The Database of Protein Disorder (DisProt, URL: https://disprot.org) provides manually curated annotations of intrinsically disordered proteins from the literature. Here we report recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website. The website includes a redesigned graphical interface, a better search engine, a clearer API for programmatic access and a new annotation interface that integrates text mining technologies. The new entry format provides a greater flexibility, simplifies maintenance and allows the capture of more information from the literature. The new disorder ontology has been formalized and made interoperable by adopting the OWL format, as well as its structure and term definitions have been improved. The new annotation interface has made the curation process faster and more effective. We recently showed that new DisProt annotations can be effectively used to train and validate disorder predictors. We believe the growth of DisProt will accelerate, contributing to the improvement of function and disorder predictors and therefore to illuminate the 'dark' proteome.
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