Potential inhibitors against 2019-nCoV coronavirus M protease from clinically approved medicines

  1. Xin Liu
  2. Xiu-Jie Wang

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  1. ScreenIT

    SciScore for 10.1101/2020.01.29.924100: (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
    Sequence Resource: The protein sequences of SARS-CoV Mpro (Accession: 1UK3_A) and 2019-nCoV polyprotein orf1ab (Accession: YP_009724389.1) were downloaded from GenBank (http://www.ncbi.nlm.nih.gov).
    http://www.ncbi.nlm.nih.gov
    suggested: (GENSAT at NCBI - Gene Expression Nervous System Atlas, RRID:SCR_003923)
    The protein sequence of 2019-nCoV Mpro was determined by aligning the SARS-CoV Mpro sequence to 2019-nCoV polyprotein orf1ab using BLAST (Altschul et al., 1990), the best aligned region in 2019-nCoV orf1ab to SARS-CoV Mpro was selected as 2019-nCoV Mpro.
    BLAST
    suggested: (BLASTX, RRID:SCR_001653)
    The original indications of medicines were collected according to DrugBank descriptions.
    DrugBank
    suggested: (DrugBank, RRID:SCR_002700)

    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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • 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.

  2. Version published to 10.1016/j.jgg.2020.02.001
  3. Version published to 10.1101/2020.01.29.924100v1 on bioRxiv