6OE2 image
Entry Detail
PDB ID:
6OE2
Keywords:
Title:
X-Ray Structure of the C-terminal domain (277-440) of Putative chitobiase from Bacteroides thetaiotaomicron. Northeast Structural Genomics Consortium Target BtR324A. Re-refinement of 3GGL with correct metal Mn replacing Zn. New metal confirmed with PIXE analysis of original sample.
Biological Source:
PDB Version:
Deposition Date:
2019-03-27
Release Date:
2019-12-25
Method Details:
Experimental Method:
Resolution:
3.00 Å
R-Value Free:
0.23
R-Value Work:
0.17
R-Value Observed:
0.17
Space Group:
P 32 2 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Chitobiase
Chain IDs:A
Chain Length:169
Number of Molecules:1
Biological Source:Bacteroides thetaiotaomicron
Modified Residue
Compound ID Chain ID Parent Comp ID Details 2D Image
MSE A MET modified residue
Primary Citation
High-Throughput PIXE as an Essential Quantitative Assay for Accurate Metalloprotein Structural Analysis: Development and Application.
J.Am.Chem.Soc. 142 185 197 (2020)
PMID: 31794207 DOI: 10.1021/jacs.9b09186

Abstact

Metalloproteins comprise over one-third of proteins, with approximately half of all enzymes requiring metal to function. Accurate identification of these metal atoms and their environment is a prerequisite to understanding biological mechanism. Using ion beam analysis through particle induced X-ray emission (PIXE), we have quantitatively identified the metal atoms in 30 previously structurally characterized proteins using minimal sample volume and a high-throughput approach. Over half of these metals had been misidentified in the deposited structural models. Some of the PIXE detected metals not seen in the models were explainable as artifacts from promiscuous crystallization reagents. For others, using the correct metal improved the structural models. For multinuclear sites, anomalous diffraction signals enabled the positioning of the correct metals to reveal previously obscured biological information. PIXE is insensitive to the chemical environment, but coupled with experimental diffraction data deposited alongside the structural model it enables validation and potential remediation of metalloprotein models, improving structural and, more importantly, mechanistic knowledge.

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