Title |
DisProt 7.0: a major update of the database of disordered proteins
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Published in |
Nucleic Acids Research, November 2016
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DOI | 10.1093/nar/gkw1056 |
Pubmed ID | |
Authors |
Damiano Piovesan, Francesco Tabaro, Ivan Mičetić, Marco Necci, Federica Quaglia, Christopher J. Oldfield, Maria Cristina Aspromonte, Norman E. Davey, Radoslav Davidović, Zsuzsanna Dosztányi, Arne Elofsson, Alessandra Gasparini, András Hatos, Andrey V. Kajava, Lajos Kalmar, Emanuela Leonardi, Tamas Lazar, Sandra Macedo-Ribeiro, Mauricio Macossay-Castillo, Attila Meszaros, Giovanni Minervini, Nikoletta Murvai, Jordi Pujols, Daniel B. Roche, Edoardo Salladini, Eva Schad, Antoine Schramm, Beata Szabo, Agnes Tantos, Fiorella Tonello, Konstantinos D. Tsirigos, Nevena Veljković, Salvador Ventura, Wim Vranken, Per Warholm, Vladimir N. Uversky, A. Keith Dunker, Sonia Longhi, Peter Tompa, Silvio C.E. Tosatto |
Abstract |
The Database of Protein Disorder (DisProt, URL: www.disprot.org) has been significantly updated and upgraded since its last major renewal in 2007. The current release holds information on more than 800 entries of IDPs/IDRs, i.e. intrinsically disordered proteins or regions that exist and function without a well-defined three-dimensional structure. We have re-curated previous entries to purge DisProt from conflicting cases, and also upgraded the functional classification scheme to reflect continuous advance in the field in the past 10 years or so. We define IDPs as proteins that are disordered along their entire sequence, i.e. entirely lack structural elements, and IDRs as regions that are at least five consecutive residues without well-defined structure. We base our assessment of disorder strictly on experimental evidence, such as X-ray crystallography and nuclear magnetic resonance (primary techniques) and a broad range of other experimental approaches (secondary techniques). Confident and ambiguous annotations are highlighted separately. DisProt 7.0 presents classified knowledge regarding the experimental characterization and functional annotations of IDPs/IDRs, and is intended to provide an invaluable resource for the research community for a better understanding structural disorder and for developing better computational tools for studying disordered proteins. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
Italy | 1 | 20% |
Spain | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Estonia | 1 | <1% |
Germany | 1 | <1% |
Italy | 1 | <1% |
Unknown | 213 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 46 | 21% |
Researcher | 40 | 19% |
Student > Master | 27 | 13% |
Student > Bachelor | 20 | 9% |
Professor > Associate Professor | 9 | 4% |
Other | 33 | 15% |
Unknown | 41 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 76 | 35% |
Agricultural and Biological Sciences | 43 | 20% |
Chemistry | 20 | 9% |
Computer Science | 11 | 5% |
Physics and Astronomy | 5 | 2% |
Other | 15 | 7% |
Unknown | 46 | 21% |