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ChemFM/admet_cyp2c9_veith
admet_cyp2c9_veith is a machine learning model from ChemFM. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model Overview: This adapter is fine-tuned on the CYP2C9Veith dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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Updated Oct 21, 2024
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From the Hugging Face model README
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.