pH-dependent polymorphism of the structure of SARS-CoV-2 nsp7
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Abstract
The solution structure of SARS-CoV-2 nonstructural protein 7 (nsp7) at pH 7.0 has been determined by NMR spectroscopy. nsp7 is conserved in the coronavirinae subfamily and is an essential co-factor of the viral RNA-dependent RNA polymerase for active and processive replication. Similar to the previously deposited structures of SARS-CoV-1 nsp7 at acidic and basic conditions, SARS-CoV-2 nsp7 has a helical bundle folding at neutral pH. Remarkably, the α4 helix shows gradual dislocation from the core α2-α3 structure as pH increases from 6.5 to 7.5. The protonation state of residue H36 contributes to the change of nsp7’s intramolecular interactions, and thus, to the structural variation near-neutral pH. Spin-relaxation results revealed that all three loop regions in nsp7 possess dynamic properties associated with this structural variation.
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SciScore for 10.1101/2021.09.10.459800: (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 Sentences Resources The decay curves of peak heights over relaxation delays were fitted using scipy.optimize.curve_fit 40, and the same fitting function was used to calculate T1 and T2 times, I(t) = I(0) Exp[(−1/T1,2) t], where I(t) is the peak intensity at a relaxation delay time (t). scipysuggested: (SciPy, RRID:SCR_008058)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 …
SciScore for 10.1101/2021.09.10.459800: (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 Sentences Resources The decay curves of peak heights over relaxation delays were fitted using scipy.optimize.curve_fit 40, and the same fitting function was used to calculate T1 and T2 times, I(t) = I(0) Exp[(−1/T1,2) t], where I(t) is the peak intensity at a relaxation delay time (t). scipysuggested: (SciPy, RRID:SCR_008058)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.
Results from scite Reference Check: We found no unreliable references.
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