DisProt in 2024: improving function annotation of intrinsically disordered proteins
Author:
Aspromonte Maria Cristina1ORCID, Nugnes Maria Victoria1ORCID, Quaglia Federica12ORCID, Bouharoua Adel1, Sagris Vasileios, Promponas Vasilis J, Chasapi Anastasia, Fichó Erzsébet, Balatti Galo E, Parisi Gustavo, Buitrón Martín González, Erdos Gabor, Pajkos Matyas, Dosztányi Zsuzsanna, Dobson Laszlo, Conte Alessio Del, Clementel Damiano, Salladini Edoardo, Leonardi Emanuela, Kordevani Fatemeh, Ghafouri Hamidreza, Ku Luiggi G Tenorio, Monzon Alexander Miguel, Ferrari Carlo, Kálmán Zsófia, Nilsson Juliet F, Santos Jaime, Pintado-Grima Carlos, Ventura Salvador, Ács Veronika, Pancsa Rita, Kulik Mariane Goncalves, Andrade-Navarro Miguel A, Pereira Pedro José Barbosa, Longhi Sonia, Mercier Philippe Le, Bergier Julian, Tompa Peter, Lazar Tamas, Tosatto Silvio C E1ORCID, Piovesan Damiano1ORCID,
Affiliation:
1. Department of Biomedical Sciences, University of Padova , Padova , Italy 2. Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR-IBIOM) , Bari , Italy
Abstract
Abstract
DisProt (URL: https://disprot.org) is the gold standard database for intrinsically disordered proteins and regions, providing valuable information about their functions. The latest version of DisProt brings significant advancements, including a broader representation of functions and an enhanced curation process. These improvements aim to increase both the quality of annotations and their coverage at the sequence level. Higher coverage has been achieved by adopting additional evidence codes. Quality of annotations has been improved by systematically applying Minimum Information About Disorder Experiments (MIADE) principles and reporting all the details of the experimental setup that could potentially influence the structural state of a protein. The DisProt database now includes new thematic datasets and has expanded the adoption of Gene Ontology terms, resulting in an extensive functional repertoire which is automatically propagated to UniProtKB. Finally, we show that DisProt's curated annotations strongly correlate with disorder predictions inferred from AlphaFold2 pLDDT (predicted Local Distance Difference Test) confidence scores. This comparison highlights the utility of DisProt in explaining apparent uncertainty of certain well-defined predicted structures, which often correspond to folding-upon-binding fragments. Overall, DisProt serves as a comprehensive resource, combining experimental evidence of disorder information to enhance our understanding of intrinsically disordered proteins and their functional implications.
Funder
European Cooperation in Science and Technology Horizon 2020 University of Padova
Publisher
Oxford University Press (OUP)
Cited by
13 articles.
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