Filtering Disordered Protein Conformations by NMR Residual Dipolar Couplings
Abstract
An accurate description of the conformational space of intrinsically disordered regions (IDR) is essential for understanding the functions of these regions, in particular in cell signaling. The characterization of the conformational space of IDR must deal with the presence of highly variable conformations of similar energy, which increases the complexity of the conformational exploration. The purely geometric Threading-Augmented interval Branch-and-Prune (TAiBP) approach allows us to systematically enumerate the conformations of intrinsically disordered proteins and to determine a set of conformations representative of the conformational space. The present work has two purposes: (i) proposing an extension of the TAiBP approach for providing a relevant description of the conformational landscapes of IDRs in the cases where residual dipolar couplings (RDC) have been measured, and (ii) comparing the descriptions of the conformational space obtained using TAiBP and classical approaches in the literature. The generation of peptide representative conformations was realized using, on the one hand, ϕ,ψ input regions of the Ramachandran diagram, obtained from a statistical analysis of the δ2D predictions, and on the other hand, secondary structure elements defined by a consensus between residual dipolar couplings (RDC) and the chemical shift index (CSI). A maximum-parsimony ensemble reweighting is proposed to filter the protein conformations by the residual dipolar coupling (RDC) values, based on non-negative least-squares (nnls) to select conformations. The RDC filtering efficiency is directly related to the resolution of the clustering during the assembly step of TAiBP. The generation of TAiBP conformations from the δ2D and CSI inputs, followed by the RDC filtering, provides conformations in general agreement with the previously published results. The filtering by residual dipolar couplings induces more localized positions of the secondary structure elements in front of the CSI-RDC consensus elements.
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BibTeX
@article{botnari2026filtering,
title = {{Filtering Disordered Protein Conformations by NMR Residual Dipolar Couplings}},
author = {Marina Botnari and Nathalie Sibille and Jung-Hsin Lin and Thérèse Malliavin},
journal = {Journal of Physical Chemistry B},
year = {2026},
month = aug,
doi = {10.1021/acs.jpcb.6c02007},
url = {https://hal.science/hal-05718208v2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Filtering Disordered Protein Conformations by NMR Residual Dipolar Couplings
AU - Marina Botnari
AU - Nathalie Sibille
AU - Jung-Hsin Lin
AU - Thérèse Malliavin
PY - 2026
DA - 2026/08/04
JO - Journal of Physical Chemistry B
DO - 10.1021/acs.jpcb.6c02007
UR - https://hal.science/hal-05718208v2
AB - An accurate description of the conformational space of intrinsically disordered regions (IDR) is essential for understanding the functions of these regions, in particular in cell signaling. The characterization of the conformational space of IDR must deal with the presence of highly variable conformations of similar energy, which increases the complexity of the conformational exploration. The purely geometric Threading-Augmented interval Branch-and-Prune (TAiBP) approach allows us to systematically enumerate the conformations of intrinsically disordered proteins and to determine a set of conformations representative of the conformational space. The present work has two purposes: (i) proposing an extension of the TAiBP approach for providing a relevant description of the conformational landscapes of IDRs in the cases where residual dipolar couplings (RDC) have been measured, and (ii) comparing the descriptions of the conformational space obtained using TAiBP and classical approaches in the literature. The generation of peptide representative conformations was realized using, on the one hand, ϕ,ψ input regions of the Ramachandran diagram, obtained from a statistical analysis of the δ2D predictions, and on the other hand, secondary structure elements defined by a consensus between residual dipolar couplings (RDC) and the chemical shift index (CSI). A maximum-parsimony ensemble reweighting is proposed to filter the protein conformations by the residual dipolar coupling (RDC) values, based on non-negative least-squares (nnls) to select conformations. The RDC filtering efficiency is directly related to the resolution of the clustering during the assembly step of TAiBP. The generation of TAiBP conformations from the δ2D and CSI inputs, followed by the RDC filtering, provides conformations in general agreement with the previously published results. The filtering by residual dipolar couplings induces more localized positions of the secondary structure elements in front of the CSI-RDC consensus elements.
SN - 1520-6106
SN - 1520-5207
ER -