Back to search

Article

Genome-wide computational prediction of miRNAs encoded by influenza A virus (H3N2) predicts target genes involved in pulmonary and antiviral innate immunity

2026-05-18

Abstract excerpt

<h4>ABSTRACT</h4> Influenza A virus (IAV) causes significant morbidity and mortality worldwide. Understanding how viral RNAs may regulate host genes through microRNA-like mechanisms can clarify pathogenesis and reveal therapeutic targets. In this study, we screened all eight IAV H3N2 RNA segments (PB2, PB1, PA, HA, NP, NA, M, and NS) using an ab initio computational pipeline; five segments (PB2, PB1, PA, HA, and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ce17f22b-3776-5b8d-95a9-8344b3a1cc0f
DOI
10.64898/2026.05.18.725090
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Genome-wide computational prediction of miRNAs encoded by influenza A virus (H3N2) predicts target genes involved in pulmonary and antiviral innate immunityDOI 10.64898/2026.05.18.725090
Select a neighboring publication to make it the new centre.