A proteome-wide structural systems approach reveals insights into protein families of all human herpesviruses

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.

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Publication Details

Journal
Nature Communications
Published
2024-11-26
DOI
https://doi.org/10.1038/s41467-024-54668-2
Citations
12
Primary Topic
Cytomegalovirus and herpesvirus research
Type
article
Field-Weighted Citation Impact
4.64

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article

A proteome-wide structural systems approach reveals insights into protein families of all human herpesviruses

Jens B. Bosse, Timothy K. Soh, Saskia Sanders, Benedikt B. Kaufer et al.
12 citations
Nature Communications
Cytomegalovirus and herpesvirus research
4.64
article

A proteome-wide structural systems approach reveals insights into protein families of all human herpesviruses

Jens B. Bosse, Timothy K. Soh, Saskia Sanders, Benedikt B. Kaufer, Sofia Ognibene, Robin Schäper
article en
12 citations

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.

Nature CommunicationsVol. 15(1)
Leibniz Institute of Virology (LIV) (DE), Medizinische Hochschule Hannover (DE), Centre for Structural Systems Biology (DE), Freie Universität Berlin (DE)
Wellcome, Wellcome Trust, Blond McIndoe Research Foundation, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Deutsches Elektronen-Synchrotron, Leibniz-Gemeinschaft
Life in Land
Openalex Percentile: Top 4%
Cytomegalovirus and herpesvirus research
4.64
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