Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies

This article has been Reviewed by the following groups

Read the full article

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2021.05.10.443519: (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
    Modeling of fully glycosylated SARS-CoV-2 S protein–antibody complex structures: As reported in our previous work16-17, we have modeled a fully glycosylated full-length SARS-CoV-2 S protein structure by using a combination of computational modeling tools including GALAXY protein modeling suite18-20 for building missing residues and domains, ISOLDE21 for model refinement against experimental density maps, and CHARMM-GUI Glycan Reader & Modeler22-24 and Membrane Builder25-28 for building glycans and a viral membrane.
    GALAXY
    suggested: (Galaxy, RRID:SCR_006281)
    All simulations were performed using the input files generated by CHARMM-GUI38-40, and we used GROMACS 2018.641 for both equilibration and production with the LINCS algorithm42.
    GROMACS
    suggested: (GROMACS, RRID:SCR_014565)

    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 6. 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.