Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes

  1. Christian A Balbin
  2. Janelle Nunez-Castilla
  3. Vitalii Stebliankin
  4. Prabin Baral
  5. Masrur Sobhan
  6. Trevor Cickovski
  7. Ananda Mohan Mondal
  8. Giri Narasimhan
  9. Prem Chapagain
  10. Kalai Mathee
  11. Jessica Siltberg-Liberles

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Abstract

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  1. Version published to 10.1016/j.immuno.2023.100023
  2. Version published to 10.1101/2021.08.26.457577v2 on bioRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.08.26.457577: (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.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: Thank you for sharing your code.

    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 pages 5, 6, 7, 8, 10, 11, 12, 13 and 16. 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.

  4. Version published to 10.1101/2021.08.26.457577v1 on bioRxiv