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SAMPLEX: automatic mapping of perturbed and unperturbed regions of proteins and complexes.

Authors :
Krzeminski M
Loth K
Boelens R
Bonvin AM
Source :
BMC bioinformatics [BMC Bioinformatics] 2010 Jan 26; Vol. 11, pp. 51. Date of Electronic Publication: 2010 Jan 26.
Publication Year :
2010

Abstract

Background: The activity of proteins within the cell is characterized by their motions, flexibility, interactions or even the particularly intriguing case of partially unfolded states. In the last two cases, a part of the protein is affected either by binding or unfolding and the detection of the respective perturbed and unperturbed region(s) is a fundamental part of the structural characterization of these states. This can be achieved by comparing experimental data of the same protein in two different states (bound/unbound, folded/unfolded). For instance, measurements of chemical shift perturbations (CSPs) from NMR 1H-15N HSQC experiments gives an excellent opportunity to discriminate both moieties.<br />Results: We describe an innovative, automatic and unbiased method to distinguish perturbed and unperturbed regions in a protein existing in two distinct states (folded/partially unfolded, bound/unbound). The SAMPLEX program takes as input a set of data and the corresponding three-dimensional structure and returns the confidence for each residue to be in a perturbed or unperturbed state. Its performance is demonstrated for different applications including the prediction of disordered regions in partially unfolded proteins and of interacting regions in protein complexes.<br />Conclusions: The proposed approach is suitable for partially unfolded states of proteins, local perturbations due to small ligands and protein-protein interfaces. The method is not restricted to NMR data, but is generic and can be applied to a wide variety of information.

Details

Language :
English
ISSN :
1471-2105
Volume :
11
Database :
MEDLINE
Journal :
BMC bioinformatics
Publication Type :
Academic Journal
Accession number :
20102599
Full Text :
https://doi.org/10.1186/1471-2105-11-51