Machine Learning Guided Design of High-Affinity ACE2 Decoys for SARS-CoV-2 Neutralization

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  1. SciScore for 10.1101/2021.12.22.473902: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Assessment of ACE2 mutations from TLmutation: Expi293F cells transfected with pCEP4-myc-ACE2 plasmids were collected 24 h posttransfection (600 × g, 60 s), washed with ice-cold Dulbecco’s phosphate buffered saline (PBS) containing 0.2% bovine serum albumin (BSA), and stained with 1:50 RBD-sfGFP expression medium (prepared as previously described and 1:250 anti-myc Alexa 647 (clone 9B11, Cell Signaling Technology) in PBS-BSA.
    Expi293F
    suggested: RRID:CVCL_D615)
    Recombinant DNA
    SentencesResources
    Assessment of ACE2 mutations from TLmutation: Expi293F cells transfected with pCEP4-myc-ACE2 plasmids were collected 24 h posttransfection (600 × g, 60 s), washed with ice-cold Dulbecco’s phosphate buffered saline (PBS) containing 0.2% bovine serum albumin (BSA), and stained with 1:50 RBD-sfGFP expression medium (prepared as previously described and 1:250 anti-myc Alexa 647 (clone 9B11, Cell Signaling Technology) in PBS-BSA.
    pCEP4-myc-ACE2
    suggested: RRID:Addgene_141185)
    Software and Algorithms
    SentencesResources
    TLmutation and EVmutation was performed using Python 3.7 on CentosOS6.6 with access to AMD EPYC 7301 (1200 MHz, 126 GB RAM).
    Python
    suggested: (IPython, RRID:SCR_001658)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.