ArticleNucleic acids research2020
DisProt: intrinsic protein disorder annotation in 2020.
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Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.
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133citing papers in PubMed, 1 pooled it
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133 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The human O-GlcNAcome database and meta-analysis.Scientific data · 2021Pooled it
- HyRes: Accurate Physics-Based Simulation of Dynamic Protein Structures and Interactions in Complex Environments at Scale.bioRxiv : the preprint server for biology · 2026Article
- FuzDrop: sequence-based prediction of the propensity of proteins for liquid-liquid phase separation and aggregation.Nature protocols · 2026Review
- IDPForge: Deep Learning of Proteins with Global and Local Regions of Disorder.bioRxiv : the preprint server for biology · 2026Article
- IsoProDB: an integrated map of human protein isoforms for accelerated research.Database : the journal of biological databases and curation · 2026Article
- DisProt in 2026: enhancing intrinsically disordered proteins accessibility, deposition, and annotation.Nucleic acids research · 2026Article
- Missense mutations in intrinsically disordered protein regions link pathogenicity and phase separation.The Journal of biological chemistry · 2025Article
- Comparative assessment of binding residue predictions in intrinsically disordered regions.Protein science : a publication of the Protein Society · 2025Article
- Empirical Assessment of Sequence-Based Predictions of Intrinsically Disordered Regions Involved in Phase Separation.Biomolecules · 2025Article
- LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences.Bioinformatics (Oxford, England) · 2025Article
- Membrane Association of Intrinsically Disordered Proteins.Annual review of biophysics · 2025Review
- IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning.Briefings in bioinformatics · 2025Article
- DescribePROT Database of Residue-Level Protein Structure and Function Annotations.Methods in molecular biology (Clifton, N.J.) · 2025Article
- DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.PeerJ. Computer science · 2025Article
- Multitask Learning-Based Approaches for Protein Function Prediction.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Prediction of Disordered Linkers Using APOD.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Accurate Prediction of Protein-Binding Residues in Protein Sequences Using SCRIBER.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Comprehensive assessment of AlphaFold's predictions of secondary structure and solvent accessibility at the amino acid-level in eukaryotic, bacterial and archaeal proteins.Computational and structural biotechnology journal · 2025Article
- Evaluation of predictions of disordered binding regions in the CAID2 experiment.Computational and structural biotechnology journal · 2025Review
- IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins Using Large Language Models.The journal of physical chemistry. B · 2024Article
73 more citing papers are in PubMed but not listed here.
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Authors and funding
64 authors.
András HatosDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Borbála Hajdu-SoltészMTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary.
Alexander M MonzonDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Nicolas PalopoliDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina.
Lucía ÁlvarezConsejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina.
Burcu Aykac-FasComputational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark.
Claudio BassotDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden.
Guillermo I BenítezDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina.
Martina BevilacquaDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Anastasia ChasapiBiological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica GR-57500, Greece.
Lucia ChemesConsejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina.
Norman E DaveyDivision of Cancer Biology, The Institute of Cancer Research, Chelsea, London SW3 6BJ, UK.
Radoslav DavidovićLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
A Keith DunkerCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, IN 46202, USA.
Arne ElofssonDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden.
Julien GobeillSwiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland.
Nicolás S González FoutelConsejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina.
Govindarajan SudhaDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden.
Mainak GuharoyStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
Tamas HorvathInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Valentin IglesiasDepartament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
Andrey V KajavaCentre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, Montpellier 34293, France.
Orsolya P KovacsInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
John LambDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden.
Matteo LambrughiComputational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark.
Tamas LazarStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
Jeremy Y LeclercqCentre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, Montpellier 34293, France.
Emanuela LeonardiDepartment of Woman and Child Health, University of Padova, Padova 35127, Italy.
Sandra Macedo-RibeiroInstituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal.
Mauricio Macossay-CastilloStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
Emiliano MaianiComputational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark.
José A MansoInstituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal.
Cristina Marino-BusljeBioinformatics Unit. Fundación Instituto Leloir, Ciudad de Buenos Aires C1405BWE, Argentina.
Elizabeth Martínez-PérezBioinformatics Unit. Fundación Instituto Leloir, Ciudad de Buenos Aires C1405BWE, Argentina.
Bálint MészárosMTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary.
Ivan MičetićDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Giovanni MinerviniDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Nikoletta MurvaiInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Marco NecciDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Christos A OuzounisBiological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica GR-57500, Greece.
Mátyás PajkosMTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary.
Lisanna PaladinDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Rita PancsaInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Elena PapaleoComputational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark.
Gustavo ParisiDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina.
Emilie PascheSwiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland.
Pedro J Barbosa PereiraInstituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal.
Vasilis J PromponasBioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, CY 1678, Cyprus.
Jordi PujolsDepartament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
Federica QuagliaDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Patrick RuchSwiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland.
Marco SalvatoreDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden.
Eva SchadInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Beata SzaboInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Tamás SzaniszlóMTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary.
Stella TamanaBioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, CY 1678, Cyprus.
Agnes TantosInstitute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
Nevena VeljkovicLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia.
Salvador VenturaDepartament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
Wim VrankenStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
Zsuzsanna DosztányiMTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary.
Peter TompaStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
Silvio C E TosattoDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Damiano PiovesanDepartment of Biomedical Sciences, University of Padova, Padova 35121, Italy.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Databases, ProteinBiological OntologiesData CurationIntrinsically Disordered ProteinsMolecular Sequence AnnotationIntrinsically Disordered Proteins
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