
Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza


Glucocorticoids treat severe influenza but raise the risk of secondary infections, highlighting the need for new anti-inflammatory drugs. The inefficiency and cost of traditional drug discovery drive machine learning-guided discovery of targeted immunomodulators.1,2 We applied this strategy to screen candidate agents to improve survival in severe influenza.
