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In silico evidence of de novo interactions between ribosomal and Epstein - Barr virus proteins.
BMC Molecular and Cell Biology ( IF 2.8 ) Pub Date : 2019-08-15 , DOI: 10.1186/s12860-019-0219-y
Edmund Ui-Hang Sim 1 , Shruti Prashant Talwar 1
Affiliation  

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.

中文翻译:

核糖体和爱泼斯坦-巴尔病毒蛋白之间从头相互作用的计算机证据。

背景技术尽管爱泼斯坦-巴尔病毒(EBV)编码的潜在基因产物与宿主核糖体蛋白(RPs)的关联尚未得到充分探索,尽管它们参与了几种人类癌症的病因学。为了深入了解它们之间可能的相互作用,我们采用了一种计算方法,其中包括结构比对,基因本体分析,途径分析和分子对接。结果在这项研究中,基于结构相似性的比对分析可以预测27个人类RP和EBV蛋白EBNA1,LMP1,LMP2A和LMP2B之间的48种潜在相互作用。对推定的蛋白质-蛋白质相互作用(PPI)的基因本体分析表明,它们可能参与了RNA结合,核糖体生物发生,代谢和生物合成过程以及基因调控。途径分析表明它们可能参与病毒感染策略(病毒翻译)以及肿瘤发生(Wnt和EGFR信号通路)。最后,我们的分子对接分析预测了EBNA1与四个RP的功能相互作用:EBNA1-eS10,EBNA1-eS25,EBNA1-uL10和EBNA1-uL11。结论以前从未通过实验或计算机方法揭示这些相互作用。我们设想,本文中核糖体蛋白与EBV蛋白之间的计算相互作用将为未来关于核糖体蛋白与EBV感染之间功能关系的实验研究提供一个假设模型。我们的分子对接试验可预测EBNA1与四个RP的功能相互作用:EBNA1-eS10,EBNA1-eS25,EBNA1-uL10和EBNA1-uL11。结论以前从未通过实验或计算机方法揭示这些相互作用。我们设想,本文中核糖体蛋白与EBV蛋白之间的计算相互作用将为未来关于核糖体蛋白与EBV感染之间功能关系的实验研究提供一个假设模型。我们的分子对接试验可预测EBNA1与四个RP的功能相互作用:EBNA1-eS10,EBNA1-eS25,EBNA1-uL10和EBNA1-uL11。结论以前从未通过实验或计算机方法揭示这些相互作用。我们设想,本文中核糖体蛋白与EBV蛋白之间的计算相互作用将为未来关于核糖体蛋白与EBV感染之间功能关系的实验研究提供一个假设模型。
更新日期:2019-08-15
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