{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T13:54:46Z","timestamp":1791294886612,"version":"4.1.0"},"posted":{"date-parts":[[2026,10,1]]},"group-title":"Bioinformatics","reference-count":79,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>\n                  Mechanistic understanding of viral protein-protein interactions enables global health security and pandemic preparedness, yet experimental characterisation remains difficult, costly, and often restricted to specialised laboratories. Here, we describe an\n                  <jats:italic>in silico<\/jats:italic>\n                  campaign using AlphaFold2 and AlphaFold-Multimer to predict monomers and dimer structures within 2,812 viral proteomes from 23 viral families relevant to human health. We report high-confidence predicted structures of 5,279 hetero-, and 2,749 homo-dimers. Structural clustering of interfaces reduces the set fivefold to 1,598 consolidated by form and function, of which 471 (29.5%) lacked detectable similarity to experimentally determined interfaces in the PDB. These clusters yielded two notable findings: new data on vaccinology-relevant glycoproteins, and accurate prediction of the specificity and cleavage-site recognition of viral proteases, which are targets for anti-viral development. Viral monomers and high-confidence dimers are available for interactive browsing in the Pandemic Preparedness Portal of the AlphaFold Database (\n                  <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/alphafold.ebi.ac.uk\/\">https:\/\/alphafold.ebi.ac.uk\/<\/jats:ext-link>\n                  ), and the full dataset is available for bulk download.\n                <\/jats:p>","DOI":"10.64898\/2026.09.29.755321","type":"posted-content","created":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T05:55:12Z","timestamp":1790920512000},"source":"Crossref","is-referenced-by-count":0,"title":["Systematic exploration of predicted quaternary structures within pandemic-relevant viral proteomes"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0601-8596","authenticated-orcid":false,"given":"Yewon","family":"Han","sequence":"first","affiliation":[{"name":"School of Biological Sciences, Seoul National 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