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Updated: Feb 14, 2026

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Bioinformatic Prediction of Activation States in Molecular Network Pathways of Eukaryotic Initiation Factor 2 (EIF2)

Shihori Tanabe1, Sabina Quader2, Ryuichi Ono3

  • 1Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, Kawasaki 210-9501, Japan.

International Journal of Molecular Sciences
|February 13, 2026
PubMed

Insights

Eukaryotic initiation factor 2 (EIF2) signaling is inversely regulated with coronavirus pathogenesis. Computational analysis reveals EIF2 signaling interactions with miRNAs and pathway molecules, suggesting a role in viral disease.

Area of Science:

  • Molecular Biology
  • Virology
  • Computational Biology

Background:

  • Eukaryotic initiation factor 2 (EIF2) signaling is essential for protein synthesis.
  • Coronaviruses can disrupt cellular processes, impacting host protein production.

Purpose of the Study:

  • To computationally investigate the relationship between EIF2 signaling and coronavirus pathogenesis.
  • To identify molecular players and microRNAs (miRNAs) involved in this interaction.

Main Methods:

  • Computational molecular network pathway analysis.
  • Analysis of canonical pathways in coronaviral infection.
  • Investigation of upstream and downstream miRNA interactions.

Main Results:

  • EIF2 signaling and coronavirus pathogenesis pathways exhibit inverse activation states.
  • EIF2 signaling directly interacts with specific miRNAs (e.g., let-7, miR-15, miR-34).
  • Significant overlap exists between coronavirus pathogenesis pathway nodes and EIF2 signaling, including molecules like ATF4 and ERK1/2.

Conclusions:

  • Alterations in EIF2 signaling are implicated in the pathogenesis of coronavirus infection.
  • The interplay between EIF2 signaling, miRNAs, and viral pathways warrants further investigation.
Keywords:
EIF2 signalingcoronavirusmicroRNAmolecular pathwaynetwork activation

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