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Updated: Mar 27, 2026

Assays for the Identification of Novel Antivirals against Bluetongue Virus
Published on: October 11, 2013
Can artificial intelligence transform antiviral drug discovery?
Irina Tirosyan1, Yeva Gabrielyan1, Vahe Petrosyan1
1Denovo Sciences, Verin Antarayin, 138/2, Yerevan 0009, Armenia.
Abstract:
The development of antiviral therapies is constrained by high costs and extended timelines, often insufficient to address rapidly spreading viral outbreaks. Artificial intelligence (AI) has recently shown significant progress in identifying and optimizing therapeutic candidates. This review examines the application of AI across four domains in antiviral drug discovery: target identification via host-virus protein-protein interaction prediction and machine-learning analysis of genome-wide CRISPR screens; drug repurposing; de novo molecule design with generative AI; and resistance mutations prediction and phenotypic effects from viral sequence data. We discuss in silico and validated studies, focusing on the limited in vitro and in vivo evidence, and highlight common challenges and key limitations.
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