Poster (Scientific congresses and symposiums)
Biophysical Features and Local Early Conformational Propensities in Intrinsically Disordered Regions of Rhabdoviral Glycoproteins
Simankov, Nikolay; Soyeurt, Hélène; Massart, Sébastien et al.
2023EBSA Congress 2023
 

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Keywords :
Proteomics; Biophysics; Viruses; Glycoprotein; Machine Learning; Epidemiology; Plant Viruses
Abstract :
[en] Most harmful rhabdoviruses cause disease that is invariably lethal to humans, animals and plants. Throughout viral infection, protein refolding is a complex process critical to both receptor recognition and membrane-interacting fusion domains mediated by transmembrane rhabdoviral glycoprotein (Gp). However, little is known about the early stages of context-sensitive structural transitions of the rhabdoviral Gp. We hypothesized that these involve local interactions between residues situated in intrinsically disordered regions (IDRs) of both the β-sheet rich lateral domain and the fusion domain. This study investigates the host-specific biophysical IDRs-determinants encoded in the primary amino acid sequence of rhabdoviral glycoproteins, which are predicted to modulate early conformational events. This can be related to host-specific biophysical features of the local backbone and secondary structure propensities close to or in IDRs of Gps. While showing striking differences between IDRs of N- and C-termini, our results give direct insights into the biophysical folding signals located in these regions and are in congruence with independent experimental observations. Furthermore, on a quantitative scale, the biophysical features of these residues tend to become those that interact the most in the folded structure and are often residues that display evolutionary covariation, reflecting a general tendency toward conserved host-specificity. In conclusion, the accurate connection of biophysical structural features with both IDRs conformational propensities and context-sensitive folding data suggests their statistically significant role in local transition with lasting effects on subsequent conformational states during virus-host interactions and disease-related pathogenicity outcomes.
Research center :
TERRA Research Centre. Gestion durable des bio-agresseurs - ULiège [BE]
TERRA Research Centre. Modélisation et développement - ULiège [BE]
Disciplines :
Life sciences: Multidisciplinary, general & others
Phytobiology (plant sciences, forestry, mycology...)
Biochemistry, biophysics & molecular biology
Author, co-author :
Simankov, Nikolay ;  Université de Liège - ULiège > Département GxABT > Gestion durable des bio-agresseurs ; ULiège - Université de Liège [BE] > Département GxABT > Modélisation et développement
Soyeurt, Hélène  ;  Université de Liège - ULiège > Département GxABT > Modélisation et développement
Massart, Sébastien  ;  Université de Liège - ULiège > TERRA Research Centre > Gestion durable des bio-agresseurs
Tahzima, Rachid ;  Université de Liège - ULiège > Département GxABT > Gestion durable des bio-agresseurs ; ILVO - Institute for Agricultural and Fisheries Research [BE]
Language :
English
Title :
Biophysical Features and Local Early Conformational Propensities in Intrinsically Disordered Regions of Rhabdoviral Glycoproteins
Publication date :
30 June 2023
Event name :
EBSA Congress 2023
Event organizer :
Stockholm University
Event place :
Stockholm, Sweden
Event date :
du 30 juin au 04 juillet 2023
Audience :
International
Name of the research project :
Prediction and validation of biological properties of viruses using -omic data through machine learning.
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Funding text :
Cette communication bénéficie du soutien de la Région wallonne dans le cadre du financement d’une bourse FRIA.
Available on ORBi :
since 17 November 2023

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