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

Sucharitha Balu*, Susie Huget, Juan Jose Medina Reyes, Eliot Ragueneau, Kalpana Panneerselvam, Samantha N Fischer, Erin R Claussen, Savvas Kourtis, Colin W Combe, Birgit H M Meldal, Livia Perfetto, Juri Rappsilber, Georg Kustatscher, Kevin Drew, Sandra Orchard*, Henning Hermjakob*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)D644-D650
Number of pages7
JournalNucleic Acids Research
Volume53
Issue numberD1
Early online date18 Nov 2024
DOIs
Publication statusPublished - 6 Jan 2025

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