4BWW image
Deposition Date 2013-07-04
Release Date 2014-06-11
Last Version Date 2023-12-20
Entry Detail
PDB ID:
4BWW
Title:
Crystal structure of spin labelled azurin T21R1.
Biological Source:
Source Organism:
Host Organism:
Method Details:
Experimental Method:
Resolution:
1.48 Å
R-Value Free:
0.21
R-Value Work:
0.17
R-Value Observed:
0.18
Space Group:
P 1
Macromolecular Entities
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:AZURIN
Gene (Uniprot):azu
Mutagens:YES
Chain IDs:A, B, C, D
Chain Length:131
Number of Molecules:4
Biological Source:PSEUDOMONAS AERUGINOSA
Modified Residue
Compound ID Chain ID Parent Comp ID Details 2D Image
R1A A CYS ?
Primary Citation
High-Resolution Crystal Structure of Spin Labelled (T21R1) Azurin from Pseudomonas Aeruginosa: A Challenging Structural Benchmark for in Silico Spin Labelling Algorithms.
Bmc Struct.Biol. 14 16 ? (2014)
PMID: 24884565 DOI: 10.1186/1472-6807-14-16

Abstact

BACKGROUND EPR-based distance measurements between spin labels in proteins have become a valuable tool in structural biology. The direct translation of the experimental distances into structural information is however often impaired by the intrinsic flexibility of the spin labelled side chains. Different algorithms exist that predict the approximate conformation of the spin label either by using pre-computed rotamer libraries of the labelled side chain (rotamer approach) or by simply determining its accessible volume (accessible volume approach). Surprisingly, comparisons with many experimental distances have shown that both approaches deliver the same distance prediction accuracy of about 3 Å. RESULTS Here, instead of comparing predicted and experimental distances, we test the ability of both approaches to predict the actual conformations of spin labels found in a new high-resolution crystal structure of spin labelled azurin (T21R1). Inside the crystal, the label is found in two very different environments which serve as a challenging test for the in silico approaches. CONCLUSIONS Our results illustrate why simple and more sophisticated programs lead to the same prediciton error. Thus, a more precise treatment of the complete environment of the label and also its interactions with the environment will be needed to increase the accuracy of in silico spin labelling algorithms.

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