Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Balu, Sucharitha
• dc.contributor.author Huget, Susie
• dc.contributor.author Medina Reyes, Juan Jose
• dc.contributor.author Ragueneau, Eliot
• dc.contributor.author Panneerselvam, Kalpana
• dc.contributor.author Fischer, Samantha
• dc.contributor.author Claussen, Erin R.
• dc.contributor.author Kourtis, Savvas
• dc.contributor.author Combe, Colin W.
• dc.contributor.author Meldal, Birgit H. M.
• dc.contributor.author Perfetto, Livia
• dc.contributor.author Rappsilber, Juri
• dc.contributor.author Kustatscher, Georg
• dc.contributor.author Drew, Kevin
• dc.contributor.author Orchard, Sandra
• dc.contributor.author Hermjakob, Henning
• dc.date.accessioned 2025-02-25T07:34:34Z
• dc.date.available 2025-02-25T07:34:34Z
• dc.date.issued 2025
• dc.description.abstract The Complex Portal (www.ebi.ac.uk/complexportal) is a manually curated reference database for molecular complexes. It is a unifying web resource linking aggregated data on composition, topology and the function of macromolecular complexes from 28 species. In addition to significantly extending the number of manually curated complexes, we have massively extended the coverage of the human complexome through the incorporation of high confidence assemblies predicted by machine-learning algorithms trained on large-scale experimental data. The current content of the portal comprising 2150 human complexes has been augmented by 14 964 machine-learning (ML) predicted complexes from hu.MAP3.0. We have refactored the website to enable easy search and filtering of these different classes of protein complexes and have implemented the Complex Navigator, a visualisation tool to facilitate comparison of related complexes in the context of orthology or paralogy. We have embedded the Rhea reaction visualisation tool into the website to enable users to view the catalytic activity of enzyme complexes.
• dc.format.mimetype application/pdf
• dc.identifier.citation Balu S, Huget S, Medina Reyes JJ, Ragueneau E, Panneerselvam K, Fischer SN, et al. Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes. Nucleic Acids Res. 2025 Jan 6;53(D1):D644-50. DOI: 10.1093/nar/gkae1085
• dc.identifier.doi http://dx.doi.org/10.1093/nar/gkae1085
• dc.identifier.issn 0305-1048
• dc.identifier.uri http://hdl.handle.net/10230/69733
• dc.language.iso eng
• dc.publisher Oxford University Press
• dc.relation.ispartof Nucleic Acids Res. 2025 Jan 6;53(D1):D644-50
• dc.rights © The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.other Ortologia
• dc.title Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion