9QWI | pdb_00009qwi

The N-terminal domain (44-180) of the SARS-CoV-2 nucleocapsid phosphoprotein using an automatic assignment/modeling software


Experimental Data Snapshot

  • Method: SOLUTION NMR
  • Conformers Calculated: 100 
  • Conformers Submitted: 20 
  • Selection Criteria: target function 

wwPDB Validation   3D Report Full Report


This is version 1.1 of the entry. See complete history


Literature

NMR insights on multidomain proteins: the case of the SARS-CoV-2 nucleoprotein.

Bolognesi, T.Schiavina, M.Felli, I.C.Pierattelli, R.

(2025) Prog Nucl Magn Reson Spectrosc 148-149: 101577-101577

  • DOI: https://doi.org/10.1016/j.pnmrs.2025.101577
  • Primary Citation of Related Structures:  
    9QWI

  • PubMed Abstract: 

    Studying multidomain proteins, especially those combining well-folded domains with intrinsically disordered regions (IDRs), requires specific Nuclear Magnetic Resonance (NMR) techniques to address their structural complexity. To illustrate this, we focus here on the nucleocapsid protein from SARS-CoV-2, which includes both structured and disordered regions. We applied a suite of NMR methods, combining ARTINA software for automatic assignment and structure modelling with multi-receiver experiments that simultaneously capture signals from different nuclear spins, increasing both data quality and acquisition efficiency. Studies of signal temperature-dependence, heteronuclear relaxation and secondary structure propensity (SSP) analysis, as well as experiments employing either 1 H or 13 C detection to achieve simultaneous snapshots of globular and disordered regions, were used to analyse both the isolated N-terminal domain (NTD) and a construct (NTR) comprising the NTD and two flanking highly disordered regions (IDR1, IDR2). This comprehensive approach allowed us to characterize the NTD's structure and to evaluate how the IDRs affect the overall conformation and dynamics, as well as the interaction with RNA. The findings underscore the importance of applying such a combination of tailored NMR techniques for effectively studying multidomain proteins with heterogeneous structural and dynamic properties.


  • Organizational Affiliation
    • Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.

Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Nucleoprotein137Severe acute respiratory syndrome coronavirus 2Mutation(s): 0 
UniProt
Find proteins for P0DTC9 (Severe acute respiratory syndrome coronavirus 2)
Explore P0DTC9 
Go to UniProtKB:  P0DTC9
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP0DTC9
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: SOLUTION NMR
  • Conformers Calculated: 100 
  • Conformers Submitted: 20 
  • Selection Criteria: target function 

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Ministero dell Universita e della RicercaItalyCUP B53C22001790006
Ministero dell Universita e della RicercaItaly2021-T4-AN-07

Revision History  (Full details and data files)

  • Version 1.0: 2025-08-13
    Type: Initial release
  • Version 1.1: 2025-09-17
    Changes: Database references