SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes

Publication date

2010

Authors

Krzeminski, M.
Loth, K.ISNI 0000000359071957
Boelens, RolfISNI 0000000389597108
Bonvin, Alexandre M.J.J.ORCID 0000-0001-7369-1322ISNI 0000000396501354

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Document Type

Article
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cc_by

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. 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. 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.

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Citation

Krzeminski, M, Loth, K, Boelens, R & Bonvin, A M J J 2010, 'SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes', BMC Bioinformatics, vol. 11, no. 51, pp. 1-8. https://doi.org/10.1186/1471-2105-11-51