Exploring the genomic and proteomic variations of SARS-CoV-2 spike glycoprotein: A computational biology approach

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Abstract

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  1. SciScore for 10.1101/2020.04.07.030924: (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
    For multiple sequence alignment (MSA), Genome Detective Coronavirus Typing Tool uses a reference dataset of 431 whole genome sequences (WGS) where 386 WGS were from known nine coronavirus species.
    WGS
    suggested: None
    The dataset was then aligned with MUSCLE [24].
    MUSCLE
    suggested: (MUSCLE, RRID:SCR_011812)
    Entropy (H(x)) plot of nucleotide variations in SARS-CoV-2 genome was constructed using BioEdit [25].
    BioEdit
    suggested: (BioEdit, RRID:SCR_007361)
    MEGA X (version 10.1.7) was used to construct the MSAs and the phylogenetic tree using pairwise alignment and neighbor-joining methods in ClustalW [26,27].
    ClustalW
    suggested: (ClustalW, RRID:SCR_017277)
    The overall quality of models was assessed in RAMPAGE server [31] by generating Ramachandran plots (Supplementary Table 1).
    RAMPAGE
    suggested: (RAMPAGE, RRID:SCR_017590)
    PyMol and BIOVIA Discovery Studio were used for structure visualization and superpose [32,33].
    PyMol
    suggested: (PyMOL, RRID:SCR_000305)

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04321096Active, not recruitingThe Impact of Camostat Mesilate on COVID-19 Infection


    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 pages 26, 22 and 23. 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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • No funding statement was detected.
    • 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.