PanPPAR

PanPPAR is a computational tool for predicting the potential agonists or antagonists of Peroxisome Proliferator-Activated Receptors (PPARs), a class of nuclear receptors that play important roles in lipid and glucose metabolism, inflammation, and cellular differentiation. PanPPAR uses a combination of molecular docking and machine learning techniques to predict the binding affinity of small molecules to PPARs, which can be used to identify potential therapeutic agents or environmental toxins.