Abstract
Viroporins alter the permeability of cell membranes and regulate the initiation/progression of the viral infection cycle. However, the “unconventional” membrane channel behavior displayed by many members of the family challenges their general validation as therapeutic targets. The reported capacity of the Classical Swine Fever Virus p7 viroporin for establishing ion-conducting channels of different sizes exemplifies that behavior. Using all-atom molecular dynamics (MD) simulations, we attempted to elucidate the structural basis and mechanisms underlying the atypical activity of p7. Based on AlphaFold-predicted CSFV p7 hexamer structures with folded-back helical hairpins, we first generated monomers that spanned the entire thickness of the lipid bilayer. Next, we assembled oligomers of varying stoichiometry (pentamers, hexamers, and heptamers) based on those extended transmembrane hairpin (TMH) protomers. We focused on two hexameric models: TMH1, preserving the helix–helix packing interactions observed in the initial model, and TMH2 6, generated using TMH1 as a template for ColabFold. In line with experimental evidence, the simulations revealed that both structural architecture and oligomeric state determine pore organization in ER-like membranes. TMH1 hexamers and TMH2 7 heptamers adopted wide pore geometries with extensive hydration and ion accessibility, whereas TMH2 6 hexamers sampled narrower, more compact hydrated pore states. TMH2 5 pentamers remained predominantly nonconductive. Dynamic interactions between transmembrane helices and the number of protomers incorporated into the membrane-embedded structure appeared to be instrumental for this capacity. These findings reveal how variation in oligomeric state and helix packing can generate pores with different dimensions and hydration properties, providing a structural framework for interpreting p7′s experimentally observed capacity to induce multiple conductance states and size-selective membrane permeabilization.
| Original language | English |
|---|---|
| Pages (from-to) | 2108-2122 |
| Number of pages | 15 |
| Journal | Biochemistry |
| Volume | 65 |
| Issue number | 13 |
| Early online date | 25 Jun 2026 |
| DOIs | |
| Publication status | Published - 7 Jul 2026 |
Funding
This study was supported by the following Grants: Basque Government (IT1449-22) and U.S. Department of Agriculture (FAIN 58-3022-4-017-F). We acknowledge EuroHPC for awarding access to computational resources (EHPC-BEN-2025B03-059 & EHPC-REG-2025R01-207) in several of the European platforms, including LUMI (CSC, Finland), Marenostrum (BSC, Spain), and Leonardo (CINECA, Italy). This project also made use of time on HPC platforms granted via the UK High-End Computing Consortium for Biomolecular Simulation, HECBioSim (http://hecbiosim.ac.uk), supported by EPSRC (grant nos. EP/R029407/1 and EP/X035603/1). The authors also acknowledge the Red Española de Supercomputación (RES) at the Barcelona Supercomputing Center (BSC) for providing access to computational resources and support, which were essential for this work. B.W. is supported by U.K. Research and Innovation (UKRI), grant reference number EP/S023437/1.
| Funders | Funder number |
|---|---|
| CINECA | |
| U.S. Department of Agriculture | EHPC-REG-2025R01-207, FAIN 58-3022-4-017-F, EHPC-BEN-2025B03-059 |
| Engineering and Physical Sciences Research Council | EP/X035603/1, EP/R029407/1 |
| Eusko Jaurlaritza | IT1449-22 |
| UK Research and Innovation | EP/S023437/1 |
ASJC Scopus subject areas
- Biochemistry
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