Flu Fighters: High-Throughput Screening Uncovers New Influenza A Inhibitors
- Zhandos Sembay
- Jun 27
- 2 min read
200,000 Compounds Screened, 3 Novel Drug Scaffolds Identified, and Deep Learning on the Horizon
Birmingham, AL – As seasonal and pandemic influenza strains continue to threaten public health worldwide, a team of researchers at Southern Research and the University of Alabama at Birmingham has completed a major milestone in antiviral discovery: screening a massive chemical library of 200,000 compounds using a high-throughput, cell-based immunofluorescence assay. The study, published in Antiviral Research (IF = 7.6), not only identified three novel chemical scaffolds with potent anti-influenza activity, but also laid the groundwork for deep learning–based drug discovery powered by the resulting 200,000+ data points.
🧾 Read the article here: https://doi.org/10.1016/j.antiviral.2025.106209
Discovery Highlights
Using a duplex immunofluorescence assay, the team measured both viral inhibition and cytotoxicity in the same well. The screening campaign against the H3N2 strain A/Udorn/72 yielded:
1,735 initial hits showing ≥54% virus inhibition
161 confirmed hits with favorable cytotoxicity profiles
3 major structural clusters (including thiadiazole and imidazoazepine scaffolds)
3 lead candidates (SRI-44211, SRI-44215, SRI-44221) with high potency against the pandemic H1N1 strain A/California/07/09
Impact & Next Steps
What sets this effort apart is not just the scale, but its translation potential:
🧠 200,000 data points generated will fuel a deep learning model now under development for virtual screening.
💥 The lead compounds showed IC₅₀ values <1 µM and selectivity indices up to 252 for A/Ca/07/09.
🧬 The screening framework supports rapid adaptation to emerging strains by swapping out antibodies for other subtypes.

Behind the Scenes
This work is supported by NIH grant U19 AI142759. The full list of authors includes Yohanka Martinez-Gzegozewsk , Lynn Rasmussen, N. Miranda Nebane, Sara McKellip, Dee Radzieta, Anna Manuvakhova, Andrew J. Reece, Pedro Ruiz, Sixue Zhang , Omar Moukha-Chafiq, Melinda Sosa, Corinne Augelli-Szafran, Richard Whitley, Robert Bostwick, Paige Vinson.
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