The crystal structure of vaccinia virus protein E2 and perspectives on the prediction of novel viral protein folds.
Gao, William ND
Deane, Janet E
Carpentier, David CJ
Smith, Geoffrey L
Graham, Stephen C
J Gen Virol
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Gao, W. N., Gao, C., Deane, J. E., Carpentier, D. C., Smith, G. L., & Graham, S. C. (2022). The crystal structure of vaccinia virus protein E2 and perspectives on the prediction of novel viral protein folds.. J Gen Virol https://doi.org/10.1099/jgv.0.001716
The morphogenesis of vaccinia virus (VACV, family Poxviridae), the smallpox vaccine, is a complex process involving multiple distinct cellular membranes and resulting in multiple different forms of infectious virion. Efficient release of enveloped virions, which promote systemic spread of infection within hosts, requires the VACV protein E2 but the molecular basis of E2 function remains unclear and E2 lacks sequence homology to any well-characterised family of proteins. We solved the crystal structure of VACV E2 to 2.3 Å resolution, revealing that it comprises two domains with novel folds: an N-terminal annular (ring) domain and a C-terminal globular (head) domain. The C-terminal head domain displays weak structural homology with cellular (pseudo)kinases but lacks conserved surface residues or kinase features, suggesting that it is not enzymatically active, and possesses a large surface basic patch that might interact with phosphoinositide lipid headgroups. Recent deep learning methods have revolutionised our ability to predict the three-dimensional structures of proteins from primary sequence alone. VACV E2 is an exemplar 'difficult' viral protein target for structure prediction, being comprised of multiple novel domains and lacking sequence homologues outside Poxviridae. AlphaFold2 nonetheless succeeds in predicting the structures of the head and ring domains with high and moderate accuracy, respectively, allowing accurate inference of multiple structural properties. The advent of highly accurate virus structure prediction marks a step-change in structural virology and beckons a new era of structurally-informed molecular virology.
alphafold2, deep learning, modelling, poxvirus, structural virology, Binding Sites, Crystallography, X-Ray, Poxviridae, Protein Binding, Protein Conformation, Vaccinia virus, Viral Proteins, Virus Replication
Is supplemented by: https://doi.org/10.17863/CAM.74391https://doi.org/10.17863/CAM.77496
Remote access to Diamond Light Source was supported in part by the EU FP7 infrastructure grant BIOSTRUCT-X (Contract No. 283570). A Titan V graphics card used for this research was donated by the NVIDIA Corporation. Wellcome Trust Principal Research Fellowship (090315) to GLS, MRC research grant (MR/R010536/1) to GLS and DCJC, Royal Society University Research Fellowship (UF100371) to JED, Sir Henry Dale Fellowship (098406/Z/12/B), jointly funded by the Wellcome Trust and the Royal Society, to SCG.
Wellcome Trust (098406/Z/12/Z)
Wellcome Trust (098406/Z/12/B)
Wellcome Trust (090315/Z/09/Z)
Medical Research Council (MR/R010536/1)
External DOI: https://doi.org/10.1099/jgv.0.001716
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331153
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Licence URL: http://www.rioxx.net/licenses/all-rights-reserved
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