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

Timothy K. Soh, Sofia Ognibene, Saskia Sanders, Robin Schäper, Benedikt B. Kaufer and Jens B. Bosse ()
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Timothy K. Soh: Hannover Medical School, Institute of Virology
Sofia Ognibene: Hannover Medical School, Institute of Virology
Saskia Sanders: Hannover Medical School, Institute of Virology
Robin Schäper: Hannover Medical School, Institute of Virology
Benedikt B. Kaufer: Institute of Virology, Freie Universität Berlin
Jens B. Bosse: Hannover Medical School, Institute of Virology

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-54668-2

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