dc.contributor.author
Soh, Timothy K.
dc.contributor.author
Ognibene, Sofia
dc.contributor.author
Sanders, Saskia
dc.contributor.author
Schäper, Robin
dc.contributor.author
Kaufer, Benedikt B.
dc.contributor.author
Bosse, Jens B.
dc.date.accessioned
2025-01-28T13:27:47Z
dc.date.available
2025-01-28T13:27:47Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46400
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46113
dc.description.abstract
Structure predictions have become invaluable tools, but viral proteins are absent from the EMBL/DeepMind AlphaFold database. Here, we provide proteome-wide structure predictions for all nine human herpesviruses and analyze them in depth with explicit scoring thresholds. By clustering these predictions into structural similarity groups, we identified new families, such as the HCMV UL112-113 cluster, which is conserved in alpha- and betaherpesviruses. A domain-level search found protein families consisting of subgroups with varying numbers of duplicated folds. Using large-scale structural similarity searches, we identified viral proteins with cellular folds, such as the HSV-1 US2 cluster possessing dihydrofolate reductase folds and the EBV BMRF2 cluster that might have emerged from cellular equilibrative nucleoside transporters. Our HerpesFolds database is available at https://www.herpesfolds.org/herpesfolds and displays all models and clusters through an interactive web interface. Here, we show that system-wide structure predictions can reveal homology between viral species and identify potential protein functions.
en
dc.format.extent
14 Seiten
dc.rights
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Herpes virus
en
dc.subject
Molecular modelling
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
A proteome-wide structural systems approach reveals insights into protein families of all human herpesviruses
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-01-27T13:15:13Z
dcterms.bibliographicCitation.articlenumber
10230
dcterms.bibliographicCitation.doi
10.1038/s41467-024-54668-2
dcterms.bibliographicCitation.journaltitle
Nature Communications
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
15
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s41467-024-54668-2
refubium.affiliation
Veterinärmedizin
refubium.affiliation.other
Institut für Virologie

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2041-1723
refubium.resourceType.provider
DeepGreen