Prediction of virus-host interactions and identification of hot spot residues of DENV-2 and SH3 domain interactions.

Host Microbial Interactions src Homology Domains Protein Binding Base Sequence Proline / metabolism
DENV-2 Dengue Peptide-based vaccines Proline SH3 domain

Journal

Archives of microbiology
ISSN: 1432-072X
Titre abrégé: Arch Microbiol
Pays: Germany
ID NLM: 0410427

Informations de publication

Date de publication:
14 Mar 2024
Historique:
received: 16 12 2023
accepted: 08 02 2024
revised: 08 02 2024
medline: 18 3 2024
pubmed: 14 3 2024
entrez: 14 3 2024
Statut: epublish

Résumé

Dengue virus, particularly serotype 2 (DENV-2), poses a significant global health threat, and understanding the molecular basis of its interactions with host cell proteins is imperative for developing targeted therapeutic strategies. This study elucidated the interactions between proline-enriched motifs and Src homology 3 (SH3) domain. The SH3 domain is pivotal in mediating protein-protein interactions, particularly by recognizing and binding to proline-rich regions in partner proteins. Through a computational pipeline, we analyzed the interactions and binding modes of proline-enriched motifs with SH3 domains, identified new potential DENV-2 interactions with the SH3 domain, and revealed potential hot spot residues, underscoring their significance in the viral life cycle. This comprehensive analysis provides crucial insights into the molecular basis of DENV-2 infection, highlighting conserved and serotype-specific interactions. The identified hot spot residues offer potential targets for therapeutic intervention, laying the foundation for developing antiviral strategies against Dengue virus infection. These findings contribute to the broader understanding of viral-host interactions and provide a roadmap for future research on Dengue virus pathogenesis and treatment.

Identifiants

DOI: 10.1007/s00203-024-03892-x PMID: 38483579 PMC: PMC10940428
pubmed: 38483579
doi: 10.1007/s00203-024-03892-x
pii: 10.1007/s00203-024-03892-x
pmc: PMC10940428
doi:

Substances chimiques

Proline 9DLQ4CIU6V

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

162

Informations de copyright

© 2024. The Author(s).

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Auteurs

Mithila Banik (M)

Department of Bioinformatics and Biotechnology, Asian University for Women, Chattogram, Bangladesh.

Keshav Raj Paudel (KR)

Centre for Inflammation, Centenary Institute and the University of Technology Sydney, School of Life Sciences, Faculty of Science, Sydney, NSW, Australia.

Rajib Majumder (R)

Applied Bioscience, Macquarie University, Sydney, NSW, Australia.

Sobia Idrees (S)

Centre for Inflammation, Centenary Institute and the University of Technology Sydney, School of Life Sciences, Faculty of Science, Sydney, NSW, Australia. sobia.idrees@uts.edu.au.

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Classifications MeSH

questionsmedicales.fr › Phénomènes biologiques › Interactions hôte-microbes › Prediction of virus-host interactions and...
questionsmedicales.fr › Phénomènes chimiques › Phénomènes biochimiques › Conformation moléculaire › Conformation des protéines › Éléments structuraux des protéines › Motifs et domaines d'intéraction protéique › Domaine d'homologie SRC › Prediction of virus-host interactions and...
questionsmedicales.fr › Métabolisme › Liaison aux protéines › Prediction of virus-host interactions and...
questionsmedicales.fr › Sciences de l'information › Sources d'information › Services d'information › Documentation › Données de séquences moléculaires › Séquence nucléotidique › Prediction of virus-host interactions and...
questionsmedicales.fr › Acides aminés, peptides et protéines › Acides aminés › Acides aminés cycliques › Imino-acides › Proline › Prediction of virus-host interactions and...