PuSH - Publikationsserver des Helmholtz Zentrums München

Dugied, G.* ; Laurent, E.M.* ; Attia, M.* ; Gimeno, J.P.* ; Bachiri, K.* ; Samavarchi-Tehrani, P.* ; Donati, F.* ; Rahou, Y.* ; Munier, S.* ; Amara, F.* ; Dos Santos, M.* ; Soler, N.* ; Volant, S.* ; Pietrosemoli, N.* ; Gingras, A.C.* ; Pavlopoulos, G.A.* ; van der Werf, S.* ; Falter-Braun, P. ; Aloy, P.* ; Jacob, Y.* ; Komarova, A.* ; Sofianatos, Y.* ; Coyaud, E.* ; Demeret, C.*

Multimodal SARS-CoV-2 interactome sketches the virus-host spatial organization.

Comm. Biol. 8:501 (2025)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
An accurate spatial representation of protein-protein interaction networks is needed to achieve a realistic and biologically relevant representation of interactomes. Here, we leveraged the spatial information included in Proximity-Dependent Biotin Identification (BioID) interactomes of SARS-CoV-2 proteins to calculate weighted distances and model the organization of the SARS-CoV-2-human interactome in three dimensions (3D) within a cell-like volume. Cell regions with viral occupancy were highlighted, along with the coordination of viral proteins exploiting the cellular machinery. Profiling physical intra-virus and virus-host contacts enabled us to demonstrate both the accuracy and the predictive value of our 3D map for direct interactions, meaning that proteins in closer proximity tend to interact physically. Several functionally important virus-host complexes were detected, and robust structural models were obtained, opening the way to structure-directed drug discovery screens. This PPI discovery pipeline approach brings us closer to a realistic spatial representation of interactomes, which, when applied to viruses or other pathogens, can provide significant information for infection. Thus, it represents a promising tool for coping with emerging infectious diseases.
Impact Factor
Scopus SNIP
Altmetric
5.100
0.000
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Protein; Principles
Sprache englisch
Veröffentlichungsjahr 2025
HGF-Berichtsjahr 2025
ISSN (print) / ISBN 2399-3642
e-ISSN 2399-3642
Quellenangaben Band: 8, Heft: 1, Seiten: , Artikelnummer: 501 Supplement: ,
Verlag Springer
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Network Biology (INET)
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Environmental Sciences
PSP-Element(e) G-506400-001
Förderungen European Union
Universite Paris Cite
Metropole Europeenne de Lille (France) Accueil de Talent (MONET)
National Institutes of Health (NIH) grant
I-Site Lille
French Government's Investissement d'Avenir programme
Laboratoire d'Excellence "Integrative Biology of Emerging Infectious Diseases"
RECOVER project - European Union
Task Force Covid19 Institut Pasteur
Task force COVID-19 funding (SARS-CoV-2 sensing)
Hellenic Foundation for Research and Innovation (H.F.R.I)
Agence Nationale pour la Recherche (ANR) Flash COVID-19 funding scheme (SARS-Cov-2 immunRNAs project)

European Union (European Regional Development Fund)
European Union's Horizon 2020 research and innovation programme
European Research Council's Horizon 2020 Research and Innovation Action
Operational Program Competitiveness, Entrepreneurship and Innovation, NSRF
Procurement of high-cost research equipment grant
Agence Nationale pour la Recherche (ANR) Flash COVID-19 funding scheme (DARWIN project)
Scopus ID 105001230236
PubMed ID 40140549
Erfassungsdatum 2025-05-09