ChemFM/admet_cyp2c9_veith

Model Card: ChemFM Adapters for CYP2C9_Veith Prediction on ADMET Group

Model Overview:
This adapter is fine-tuned on the CYP2C9_Veith dataset. It uses ChemFM as the base model and is trained on SMILES representations.

Task Description:
The task a classification task, and the objective is to predict CYP2C9 inhibition with binary labels, indicating the drug's ability to inhibit the CYP2C9 enzyme involved in metabolism.

Dataset:
The whole dataset contains 12092 samples. For more details about the dataset, visit ADMET benchmark.

How to Use:
For more details on how to use this model, visit ChemFM GitHub.