ADMET_XGBoost

ADMET_XGBoost is a tool designed for accurate prediction of ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties of small molecules using the XGBoost machine learning algorithm. It provides functionalities for feature extraction from SMILES representations and model training for various ADMET tasks.