Differences between Omicron SARS-CoV-2 RBD and other variants in their ability to interact with cell receptors and monoclonal antibodies

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Abstract

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  1. SciScore for 10.1101/2022.01.29.478316: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Recombinant DNA
    SentencesResources
    Recently, this theoretical approach was named FORTE (Fast cOarse-grained pRotein-proTein modEl) (Neamtu et al., 2022).
    pRotein-proTein
    suggested: None
    Software and Algorithms
    SentencesResources
    Among the available tools (Barroso da Silva et al., 2020; Germain et al., 2011; Schlick & Portillo-Ledesma,
    Portillo-Ledesma
    suggested: None
    For a proper comparison of the outcomes, the SARS-CoV-2 RBD (wt) coordinates were taken from previous works (Giron et al., 2020, 2021) - also available at Zenodo (Build Structural Models for Several Variants of SARS-CoV-2 RBD | Zenodo, n.d.).
    Zenodo
    suggested: (ZENODO, RRID:SCR_004129)

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.