Machine Learning-Based Bioactivity Prediction of Potential PPAR-γ Agonists for the Management of Diabetes
Juhi Madhwani, Sankaranarayanan Murugesan
The paper uses machine learning to predict PPAR-γ agonist bioactivity, achieving an R2 score of 0.83 using molecular descriptors from ChEMBL data.
bioRxiv · Aug 9, 2025 · PreprintBioinformatics