Synergistic Protein–Protein and Protein–Lipid Interactions Drive SARS-CoV-2 Envelope Assembly
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) assembles its viral envelope at the endoplasmic reticulum-Golgi intermediate compartment (ERGIC), yet the minimal molecular requirements for forming a stable viral envelope remain unclear. Here, we used coarse-grained molecular dynamics simulations to systematically examine how protein and lipid compositions and protein orientation influence membrane remodeling during viral envelope formation. Starting from bicelle membrane patches, we compared lipid-only systems and membranes containing the matrix (M) and spike (S) proteins under different lipid environments and orientations. Lipid-only membranes closed stochastically, whereas systems containing either M or S proteins reliably formed vesicles but failed to establish correct membrane topology. In contrast, systems containing both M and S proteins in heterogeneous ERGIC-like lipid mixtures consistently produced stable vesicles with correct topology. Mechanistic analyses revealed that protein orientation modulates membrane curvature generation and cholesterol redistribution, while persistent M-S contacts organize protein positioning during closure. Disrupting any of these interactions resulted in failed closure or severely deformed structures. Together, these results support an obligate-synergy model in which three interaction classes─M-S protein-protein contacts, M-lipid interactions, and S-lipid interactions─cooperate to drive robust coronavirus envelope assembly. These findings identify minimal physical requirements for viral envelope formation and provide mechanistic insights that may guide the rational design of coronavirus virus-like particle (VLP) assembly systems.
Authors
- Shogo Yoshimoto (ORCID: https://orcid.org/0000-0002-1358-4362)
- Katsutoshi Hori (ORCID: https://orcid.org/0000-0003-1994-3124)
- Ryo Urano (ORCID: https://orcid.org/0000-0003-1417-5074)
- Wataru Shinoda (ORCID: https://orcid.org/0000-0002-3388-9227)
Institutions
- Okayama University (JP)
- Nagoya University (JP)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1021/acs.jcim.6c01060
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Agency for Medical Research and Development
- Japan Society for the Promotion of Science