Structures of synthetic nanobody–SARS-CoV-2 receptor-binding domain complexes reveal distinct sites of interaction

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Abstract

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  1. SciScore for 10.1101/2021.01.27.428466: (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

    Experimental Models: Organisms/Strains
    SentencesResources
    Graded and increasing concentrations of SB16, SB45 and SB68 were injected over the RBD-immobilized surface at a flow rate of 30 μl/min with an association time of 120 s and dissociation time of 2000 s.
    SB45
    suggested: None
    Software and Algorithms
    SentencesResources
    Subsequent refinements were carried out with PHENIX (44).
    PHENIX
    suggested: (Phenix, RRID:SCR_014224)
    CDR loops were manually rebuilt by fitting to the electron density maps with Coot (45).
    Coot
    suggested: (Coot, RRID:SCR_014222)
    Illustrations and calculations of superpositioned models were prepared in PyMOL (The PyMOL Molecular Graphics System, Version 2.4.0 Schrodinger, LLC).
    PyMOL
    suggested: (PyMOL, RRID:SCR_000305)
    Calculation of hinge relationships of domains was accomplished with HINGE (https://niaidsis.niaid.nih.gov/hinge.html), provided courtesy of Peter Sun, NIAID.
    HINGE
    suggested: (Hinge, RRID:SCR_016135)
    Buried surface area (BSA) calculations were performed with PISA (https://www.ebi.ac.uk/pdbe/pisa/).
    PISA
    suggested: (PISA, RRID:SCR_015749)

    Results from OddPub: Thank you for sharing your data.


    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.

    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.