In silico evidence of de novo interactions between ribosomal and Epstein - Barr virus proteins

Sim, Edmund Ui Hang and Talwar, Prashant Shruti (2019) In silico evidence of de novo interactions between ribosomal and Epstein - Barr virus proteins. BMC Molecular and Cell Biology, 20 (34). pp. 1-12. ISSN 2661-8850

[img] PDF
talwar.pdf

Download (3MB)
Official URL: https://bmcmolcellbiol.biomedcentral.com/articles/...

Abstract

Background Association of Epstein-Barr virus (EBV) encoded latent gene products with host ribosomal proteins (RPs) has not been fully explored, despite their involvement in the aetiology of several human cancers. To gain an insight into their plausible interactions, we employed a computational approach that encompasses structural alignment, gene ontology analysis, pathway analysis, and molecular docking. Results In this study, the alignment analysis based on structural similarity allows the prediction of 48 potential interactions between 27 human RPs and the EBV proteins EBNA1, LMP1, LMP2A, and LMP2B. Gene ontology analysis of the putative protein-protein interactions (PPIs) reveals their probable involvement in RNA binding, ribosome biogenesis, metabolic and biosynthetic processes, and gene regulation. Pathway analysis shows their possible participation in viral infection strategies (viral translation), as well as oncogenesis (Wnt and EGFR signalling pathways). Finally, our molecular docking assay predicts the functional interactions of EBNA1 with four RPs individually: EBNA1-eS10, EBNA1-eS25, EBNA1-uL10 and EBNA1-uL11. Conclusion These interactions have never been revealed previously via either experimental or in silico approach. We envisage that the calculated interactions between the ribosomal and EBV proteins herein would provide a hypothetical model for future experimental studies on the functional relationship between ribosomal proteins and EBV infection.

Item Type: Article
Uncontrolled Keywords: Epstein-Barr virus, Ribosomal proteins, EBNA1, Protein-protein interactions, Computational prediction, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Academic Faculties, Institutes and Centres > Faculty of Resource Science and Technology
Faculties, Institutes, Centres > Faculty of Resource Science and Technology
Depositing User: Ui Hang
Date Deposited: 19 Aug 2019 00:54
Last Modified: 27 Apr 2021 13:36
URI: http://ir.unimas.my/id/eprint/26506

Actions (For repository members only: login required)

View Item View Item