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Autophagy and evasion of the immune system by SARS-CoV-2. Structural features of the non-structural protein 6 from wild type and Omicron viral strains interacting with a model lipid bilayer.
Bignon, Emmanuelle; Marazzi, Marco; Grandemange, Stéphanie; Monari, Antonio.
  • Bignon E; Université de Lorraine and CNRS, LPCT UMR 7019 F-54000 Nancy France Emmanuelle.bignon@univ-lorraine.fr.
  • Marazzi M; Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering and Chemical Research Institute "Andres M. del Rio" (IQAR), Universidad de Alcalá 28805 Alcalá de Hénares Spain marco.marazzi@uah.es.
  • Grandemange S; Université de Lorraine and CNRS, CRAN UMR 7039 F-54000 Nancy France.
  • Monari A; Université Paris Cité and CNRS, ITODYS F-75006 Paris France Antonio.monari@u-paris.fr.
Chem Sci ; 13(20): 6098-6105, 2022 May 25.
Article in English | MEDLINE | ID: covidwho-1852533
ABSTRACT
The viral cycle of SARS-CoV-2 is based on a complex interplay with the cellular machinery, which is mediated by specific proteins eluding or hijacking the cellular defense mechanisms. Among the complex pathways induced by the viral infection, autophagy is particularly crucial and is strongly influenced by the action of the non-structural protein 6 (Nsp6) interacting with the endoplasmic reticulum membrane. Importantly, differently from other non-structural proteins, Nsp6 is mutated in the recently emerged Omicron variant, suggesting a possible different role of autophagy. In this contribution we explore, for the first time, the structural properties of Nsp6 thanks to long-timescale molecular dynamics simulations and machine learning analysis, identifying the interaction patterns with the lipid membrane. We also show how the mutation brought by the Omicron variant may indeed modify some of the specific interactions, and more particularly help anchor the viral protein to the lipid bilayer interface.

Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: Chem Sci Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: Chem Sci Year: 2022 Document Type: Article