Realistic Ensemble Models of Intrinsically Disordered Proteins Using a Structure-Encoding Coil Database - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes
Article Dans Une Revue Structure Année : 2019

Realistic Ensemble Models of Intrinsically Disordered Proteins Using a Structure-Encoding Coil Database

Résumé

Intrinsically Disordered Proteins (IDPs) play fundamental roles in signaling, regulation and cell homeostasis by specifically interacting with their partners. The structural characterization of these interacting regions remains challenging and requires the integration of extensive experimental information. Here we present an approach that exploits the structural information encoded in tripeptide fragments from coil regions of high-resolution structures. Our results indicate that a simple building approach that disregards the sequence context provides a good structural representation of fully disordered regions. Conversely, the description of partially structured motifs calls for the consideration of sequence-dependent structural preferences. By using NMR Residual Dipolar Couplings and SAXS data for multiple IDPs we demonstrate that the appropriate combination of these two building strategies produces ensemble models that correctly describe the secondary structural classes and the population of partially structured regions. This study paves the way for the extension of structure prediction and protein design to disordered proteins.
Fichier principal
Vignette du fichier
Estana_IDPs_Structure_2019.pdf (1.69 Mo) Télécharger le fichier
supplemental-information.pdf (1.55 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01954977 , version 1 (14-12-2018)

Identifiants

Citer

Alejandro N Estaña, Nathalie Sibille, Elise Delaforge, Marc Vaisset, Juan Cortés, et al.. Realistic Ensemble Models of Intrinsically Disordered Proteins Using a Structure-Encoding Coil Database. Structure, 2019, 27 (5), pp.381-391.e2. ⟨10.1016/j.str.2018.10.016⟩. ⟨hal-01954977⟩
269 Consultations
88 Téléchargements

Altmetric

Partager

More