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RVvictor: Virus RNA-directed molecular interactions for RNA virus infection.

Kuerbannisha Amahong1, Wei Zhang1, Yuhong Liu2

  • 1College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 330110, China.

Computers in Biology and Medicine
|December 29, 2023
PubMed
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A new database, RVvictor, catalogs RNA virus interactions with host proteins and nucleic acids. This resource aids understanding of viral replication and disease, potentially revealing new antiviral targets.

Area of Science:

  • Virology
  • Molecular Biology
  • Bioinformatics

Background:

  • RNA viruses are significant human pathogens responsible for epidemics and pandemics.
  • Understanding virus RNA interactions with host molecules is crucial for deciphering viral replication and pathogenesis.
  • Existing data on these interactions is fragmented, hindering comprehensive analysis.

Purpose of the Study:

  • To construct a novel database, RVvictor, detailing RNA virus interactions with host proteins (INTPRO), messenger RNA (INTmRNA), and non-coding RNA (INTncRNA).
  • To provide a systematic resource for exploring molecular mechanisms of RNA virus translation and replication.
  • To facilitate the identification of potential cross-talk networks and therapeutic targets.

Main Methods:

  • Development of the RVvictor database to store and present RNA virus-directed interaction data.
Keywords:
Enrichment analysisHost proteinRNA virusRNA-Directed interactionsVirus RNA

Related Experiment Videos

  • Characterization of interactions between viral RNAs and host components.
  • Conducting comprehensive enrichment analysis of virus RNA-associated targets.
  • Main Results:

    • RVvictor uniquely characterizes virus RNA-host protein interactions.
    • The database offers the most systematic collection of RNA-directed interaction data to date.
    • Enrichment analysis revealed significant pathways related to viral infection, translation, and replication, including HIV and coronavirus disease.

    Conclusions:

    • RVvictor provides unprecedented insights into RNA virus molecular mechanisms.
    • The database may elucidate the pathogenicity of RNA virus infections through interaction networks.
    • RVvictor serves as a valuable resource for developing novel antiviral strategies and therapeutic targets.