Characterisation of intrinsically disordered proteins by nuclear magnetic resonance

Around 40% of the human genome does not fold into stable three-dimensional structures but are either unfolded, or contain unfolded regions of significant length. The inherent flexibility of this class of proteins is essential for their function in a vast range of biomolecular process such as molecular recognition. In order to take into account the specificity of these interactions, it has been necessary to invent new approaches to study and interpret their behaviour. Nuclear magnetic resonance spectroscopy is a unique atomic resolution probe which is sensitive to a very large range of time scales. We combine experimental NMR data with a statistical model describing the energy landscape of unfolded state : the explicit ensemble description. This model is a discrete representation of the different states of theses proteins. Combining chemical shifts, residual dipolar couplings and paramagnetic relaxation enhancement, it is then possible to develop a molecular description of the unfolded state caracterising both the local and long-range information of intrinsically disordered proteins.

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Source https://theses.hal.science/tel-00870515
Author Ozenne, Valéry
Maintainer CCSD
Last Updated May 9, 2026, 11:13 (UTC)
Created May 9, 2026, 11:13 (UTC)
Identifier NNT: 2012GRENY103
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de biologie structurale (IBS - UMR 5075) ; Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG) ; Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
creator Ozenne, Valéry
date 2012-11-28T00:00:00
harvest_object_id b147228a-4da3-41de-971b-5c110a6205bf
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE