A novel structure-based approach for identification of vertebrate susceptibility to SARS-CoV-2: Implications for future surveillance programmes

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2022.01.10.475752: (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
    2.1 ACE2 Protein Sequences: The protein sequences of ACE2 orthologs (n = 356) originating from vertebrates were downloaded from NCBI protein database (5 September, 2021) (O’Leary et al., 2016).
    NCBI
    suggested: (NCBI, RRID:SCR_006472)
    2.2 Evolutionary divergence of ACE2 orthologs across the vertebrates: The full set of ACE2 protein sequences originating from vertebrates were aligned using MAFFT v.
    MAFFT
    suggested: (MAFFT, RRID:SCR_011811)
    7.475 (Katoh et al., 2019) and a phylogenetic tree was constructed using the Maximum Likelihood statistical method with the GTR-Gamma model in RAxML v.
    RAxML
    suggested: (RAxML, RRID:SCR_006086)
    (ab initio and homology-based hybrid methodology) (Yang et al., 2015) and Modeller (version 10.1)
    Modeller
    suggested: (MODELLER, RRID:SCR_008395)
    2.8 Statistical analysis: For statistical analysis, GraphPad Prism 7.01 was used (GraphPad Software, San Diego, CA).
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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.

    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.