Structure of SARS-CoV-2 ORF8, a rapidly evolving immune evasion protein

  1. Thomas G. Flower
  2. Cosmo Z. Buffalo
  3. Richard M. Hooy
  4. Marc Allaire
  5. Xuefeng Ren
  6. James H. Hurley

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Abstract

The structure of the SARS-CoV-2 ORF8 protein reveals two novel intermolecular interfaces layered onto an ORF7 fold. One is mediated by a disulfide bond, the other is noncovalent, and both are novel with respect to SARS-CoV. The structural analysis here establishes a molecular framework for understanding the rapid evolution of ORF8, its contributions to COVID-19 pathogenesis, and the potential for its neutralization by antibodies.

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  1. Version published to 10.1073/pnas.2021785118
  2. ScreenIT

    SciScore for 10.1101/2020.08.27.270637: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Integrated reflections were scaled, merged and truncated using the CCP4 software suit (20)
    CCP4
    suggested: (CCP4, RRID:SCR_007255)
    Initial phases were obtained for the SeMet dataset using the Phenix autosol pipeline (21).
    Phenix
    suggested: (Phenix, RRID:SCR_014224)
    Iterative rounds of manual model building and refinement were carried out using Coot (23) and Phenix Refine (21) respectively.
    Coot
    suggested: (Coot, RRID:SCR_014222)
    Structural figures were produced using the program PyMOL (https://pymol.org).
    PyMOL
    suggested: (PyMOL, RRID:SCR_000305)
    Primary sequence alignment of ORF8 homologs was performed using the ClustalOmega server (24).
    ClustalOmega
    suggested: None

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.08.27.270637v1 on bioRxiv