Model Card: ChemFM Adapters for CYP3A4_Substrate_CarbonMangels Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the CYP3A4_Substrate_CarbonMangels 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 whether a drug is a substrate of the CYP3A4 enzyme with binary labels, indicating its potential to be metabolized.
Dataset:
The whole dataset contains 667 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.
