A new, detailed model of the surface of the SARS-CoV-2 spike protein reveals previously unknown vulnerabilities that could inform development of vaccines. Mateusz Sikora of the Max Planck Institute of Biophysics in Frankfurt, Germany, and colleagues present these findings in the open-access journal PLOS Computational Biology.
SARS-CoV-2 is the virus responsible for the COVID-19 pandemic. A key feature of SARS-CoV-2 is its spike protein, which extends from its surface and enables it to target and infect human cells. Extensive research has resulted in detailed static models of the spike protein, but these models do not capture the flexibility of the spike protein itself nor the movements of protective glycans--chains of sugar molecules--that coat it.
To support vaccine development, Sikora and colleagues aimed to identify novel potential target sites on the surface of the spike protein. To do so, they developed molecular dynamics simulations that capture the complete structure of the spike protein and its motions in a realistic environment.
These simulations show that glycans on the spike protein act as a dynamic shield that helps the virus evade the human immune system. Similar to car windshield wipers, the glycans cover nearly the entire spike surface by flopping back and forth, even though their coverage is minimal at any given instant.
By combining the dynamic spike protein simulations with bioinformatic analysis, the researchers identified spots on the surface of the spike proteins that are least protected by the glycan shields. Some of the detected sites have been identified in previous research, but some are novel. The vulnerability of many of these novel sites was confirmed by other research groups in subsequent lab experiments.
"We are in a phase of the pandemic driven by the emergence of new variants of SARS-CoV-2, with mutations concentrated in particular in the spike protein," Sikora says. "Our approach can support the design of vaccines and therapeutic antibodies, especially when established methods struggle."
The method developed for this study could also be applied to identify potential vulnerabilities of other viral proteins.
In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008790
Citation: Sikora M, von Bülow S, Blanc FEC, Gecht M, Covino R, Hummer G (2021) Computational epitope map of SARS-CoV-2 spike protein. PLoS Comput Biol 17(4): e1008790. https://doi.org/10.1371/journal.pcbi.1008790
Funding: This work was supported by the Max Planck Society (https://www.mpg.de) (GH), the Austrian Science Fund FWF Schrödinger Fellowship J4332-B28 (https://www.fwf.ac.at) (MS), the Human Frontier Science Program RGP0026/2017 (https://www.hfsp.org) (GH), the Landes-Offensive zur Entwicklung Wissenschaftlich-Ökonomischer Exzellenz LOEWE of the State of Hesse (https://wissenschaft.hessen.de/wissenschaft/landesprogramm-loewe): DynaMem (GH) and CMMS (RC and GH), the Frankfurt Institute for Advanced Studies (https://fias.institute): (RC), and the Leibniz Supercomputing Centre Munich (https://www.lrz.de): SUPERspike (GH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
PLoS Computational Biology