Supramolecular Organization of SARS-CoV and SARS-CoV-2 Virions Revealed by Coarse-Grained Models of Intact Virus Envelopes

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Abstract

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  1. SciScore for 10.1101/2021.09.16.460716: (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

    Software and Algorithms
    SentencesResources
    The adjusted conformation is consistent with the newly released conformation on the I-TASSER website.
    I-TASSER
    suggested: (I-TASSER, RRID:SCR_014627)
    Molecular Dynamics Simulations: All CG MD simulations were performed using GROMACS version 2019.2 (61) and with Martini 2.2 force field parameters (62, 63) and the ELNEDYN elastic network model on monomers, using a force constant of 500 kJ/(mol•nm2) and a distance cutoff of 0.9 nm.
    GROMACS
    suggested: (GROMACS, RRID:SCR_014565)

    Results from OddPub: Thank you for sharing your code.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Another possible limitation of our simulations is the use of Martini CG force field 2.2, which may limit the protein conformational changes due to the elastic network (53), such as the RBD opening in our simulations, and may tend to excessive protein aggregation because of excessive inter-protein interactions. Future simulations will try the latest Martini force fields 3.0 (54).

    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 21. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


    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.