Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening

Yifeng Tang1, Jeremiah Y Kim1, Carman K M Ip2

  • 1Pritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.

Chemical Science
|November 29, 2023
PubMed
Summary

Researchers developed an AI pipeline to discover small molecules that modulate innate immune responses, crucial for vaccines and therapies. This approach efficiently identified novel compounds with significant immune-enhancing or suppressing capabilities.

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