
Examination of a machine learning pipeline that predicted natural compounds inhibiting NF-κB p65 and validated top candidates experimentally.
Key Takeaways
- XGBoost model achieved a Pearson correlation of 0.893 on a 179,771 IC50 dataset
- Model screened 101 natural products and ranked luteolin as the strongest inhibitor after a positive control
- Experimental assays confirmed luteolin reduced p65 activation and lowered IL6, TNF, IL1B, and CXCL8 expression
