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admet_cyp2c9_substrate_carbonmangels
ChemFM/admet_cyp2c9_substrate_carbonmangels
admet_cyp2c9_substrate_carbonmangels 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 CYP2C9SubstrateCarbonMangels dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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Public
Updated Oct 21, 2024
Repo size
109 MB
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At a glance
- Access
- Public
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024
- SHA
- 3160a625
Model card
From the Hugging Face model README
Model Card: ChemFM Adapters for CYP2C9_Substrate_CarbonMangels Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the CYP2C9_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 CYP2C9 enzyme with binary labels, indicating its potential to be metabolized.
Dataset:
The whole dataset contains 666 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.
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024