Model Card: ChemFM Adapters for CYP3A4_Veith Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the CYP3A4_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 CPY3A4 inhibition with binary labels, indicating the drug's ability to inhibit the CPY3A4 enzyme involved in metabolism.
Dataset:
The whole dataset contains 12328 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.
