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Deposition Date 2024-12-06
Release Date 2025-04-16
Last Version Date 2025-04-16
Entry Detail
PDB ID:
9MEM
Title:
Anabaena Sensory Rhodopsin Structure Determination from Paramagnetic Relaxation Enhancement and NMR Restraints
Biological Source:
Source Organism:
Nostoc sp. (Taxon ID: 1180)
Method Details:
Experimental Method:
Conformers Calculated:
100
Conformers Submitted:
10
Selection Criteria:
structures with the lowest energy
Macromolecular Entities
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:Bacteriorhodopsin
Gene (Uniprot):alr3165
Chain IDs:A
Chain Length:235
Number of Molecules:1
Biological Source:Nostoc sp.
Ligand Molecules
Primary Citation
Membrane protein structure determination from Paramagnetic Relaxation Enhancement and internuclear distance restraints.
J.Biomol.Nmr ? ? ? (2025)
PMID: 40156665 DOI: 10.1007/s10858-025-00467-w

Abstact

Magic angle spinning nuclear magnetic resonance (MAS NMR) is well suited for the determination of protein structure. The key structural information is obtained in the form of spectral cross peaks between spatially close nuclear spins, but assigning these cross peaks unambiguously to unique spin pairs is often a tedious task because of spectral overlap. Here, we use a seven-helical membrane protein Anabaena Sensory Rhodopsin (ASR) as a model system to demonstrate that transverse Paramagnetic Relaxation Enhancements (PRE) extracted from 2D MAS NMR spectra could be used to obtain a protein structural model. Starting with near complete assignments (93%) of ASR residues, TALOS + predicted backbone dihedral angles and secondary structure restraints in the form of backbone hydrogen bonds are combined with PRE-based restraints and used to generate a coarse model. This model is subsequently utilized as a template reference to facilitate automated assignments of highly ambiguous internuclear correlations. The template is used in an iterative cross peak assignment process and is progressively improved through the inclusion of disambiguated restraints, thereby converging to a low root-mean-square-deviation structural model. In addition to improving structure calculation conversion, the inclusion of PREs also improves packing between helices within an alpha-helical bundle.

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