2RLZ

Solid-State MAS NMR structure of the dimer Crh


Experimental Data Snapshot

  • Method: SOLID-STATE NMR
  • Conformers Calculated: 200 
  • Conformers Submitted: 10 
  • Selection Criteria: 10 structures for lowest energy 

wwPDB Validation 3D Report Full Report


This is version 1.1 of the entry. See complete history

Literature

3D structure determination of the Crh protein from highly ambiguous solid-state NMR restraints.

Loquet, A.Bardiaux, B.Gardiennet, C.Blanchet, C.Baldus, M.Nilges, M.Malliavin, T.Bockmann, A.

(2008) J.Am.Chem.Soc. 130: 3579-3589

  • DOI: 10.1021/ja078014t

  • PubMed Abstract: 
  • In a wide variety of proteins, insolubility presents a challenge to structural biology, as X-ray crystallography and liquid-state NMR are unsuitable. Indeed, no general approach is available as of today for studying the three-dimensional structures o ...

    In a wide variety of proteins, insolubility presents a challenge to structural biology, as X-ray crystallography and liquid-state NMR are unsuitable. Indeed, no general approach is available as of today for studying the three-dimensional structures of membrane proteins and protein fibrils. We here demonstrate, at the example of the microcrystalline model protein Crh, how high-resolution 3D structures can be derived from magic-angle spinning solid-state NMR distance restraints for fully labeled protein samples. First, we show that proton-mediated rare-spin correlation spectra, as well as carbon-13 spin diffusion experiments, provide enough short, medium, and long-range structural restraints to obtain high-resolution structures of this 2 x 10.4 kDa dimeric protein. Nevertheless, the large number of 13C/15N spins present in this protein, combined with solid-state NMR line widths of about 0.5-1 ppm, induces substantial ambiguities in resonance assignments, preventing 3D structure determination by using distance restraints uniquely assigned on the basis of their chemical shifts. In the second part, we thus demonstrate that an automated iterative assignment algorithm implemented in a dedicated solid-state NMR version of the program ARIA permits to resolve the majority of ambiguities and to calculate a de novo 3D structure from highly ambiguous solid-state NMR data, using a unique fully labeled protein sample. We present, using distance restraints obtained through the iterative assignment process, as well as dihedral angle restraints predicted from chemical shifts, the 3D structure of the fully labeled Crh dimer refined at a root-mean-square deviation of 1.33 A.


    Organizational Affiliation

    Institut de Biologie et Chimie des Protéines, UMR 5086 CNRS Université Lyon 1, IFR128 BioSciences Lyon-Gerland, 7, passage du Vercors, 69367 Lyon, France.




Macromolecules

Find similar proteins by: Sequence  |  Structure

Entity ID: 1
MoleculeChainsSequence LengthOrganismDetails
HPr-like protein crh
A, B
85Bacillus subtilis (strain 168)Mutation(s): 0 
Gene Names: crh (yvcM)
Find proteins for O06976 (Bacillus subtilis (strain 168))
Go to UniProtKB:  O06976
Experimental Data & Validation

Experimental Data

  • Method: SOLID-STATE NMR
  • Conformers Calculated: 200 
  • Conformers Submitted: 10 
  • Selection Criteria: 10 structures for lowest energy 
  • Olderado: 2RLZ Olderado

Structure Validation

View Full Validation Report or Ramachandran Plots



Entry History 

Deposition Data

Revision History 

  • Version 1.0: 2008-06-17
    Type: Initial release
  • Version 1.1: 2011-07-13
    Type: Version format compliance