Structural characterization of nonstructural protein 1 from SARS-CoV-2

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.09.08.288191: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Final model was produced by the cycle of manual model building and refinement using Phenix.refine and Coot [30, 31].
    Coot
    suggested: (Coot, RRID:SCR_014222)
    Structure analysis and homology-modeling: Electrostatic potential surfaces were calculated using Pymol using APBS[21].
    Pymol
    suggested: (PyMOL, RRID:SCR_000305)
    · Structure similarity searches of the Protein Data Bank were performed using the Dali server [22].
    Dali
    suggested: (Dali Server, RRID:SCR_013433)
    Secondary structure prediction of Nsp1 homologues was done using PSIPRED [26]
    PSIPRED
    suggested: (PSIPRED, RRID:SCR_010246)
    Homology modeling of MERS-CoV was performed by I-TASSER using the crystal structure of SARS-CoV-2 Nsp113-127 as the threading template [32, 33].
    I-TASSER
    suggested: (I-TASSER, RRID:SCR_014627)

    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 18. 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.

    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.