Regulation of the Dimerization and Activity of SARS-CoV-2 Main Protease through Reversible Glutathionylation of Cysteine 300

  1. David A. Davis
  2. Haydar Bulut
  3. Prabha Shrestha
  4. Amulya Yaparla
  5. Hannah K. Jaeger
  6. Shin-ichiro Hattori
  7. Paul T. Wingfield
  8. John J. Mieyal
  9. Hiroaki Mitsuya
  10. Robert Yarchoan

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

SARS-CoV-2 is responsible for the devastating COVID-19 pandemic. Therefore, it is imperative that we learn as much as we can about the biochemistry of the coronavirus proteins to inform development of therapy.

Article activity feed

  1. Version published to 10.1128/mbio.02094-21
  2. ScreenIT

    SciScore for 10.1101/2021.04.09.439169: (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
    The cultures were grown in Terrific Broth media supplemented with ampicillin (Quality Biological, Gaithersburg, MD).
    Quality Biological
    suggested: None
    The mass of the protein was determined by protein deconvolution using Agilent’s Mass Hunter software.
    Agilent’s Mass Hunter
    suggested: None
    Mass
    suggested: None
    The mass determination for peptides was done by deconvolution (resolved isotope) using Agilent Mass Hunter software (Agilent).
    Agilent Mass Hunter
    suggested: None

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    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 10.1101/2021.04.09.439169 on bioRxiv