scikit-fingerprints/MoleculeACE_chembl2034_ki
MoleculeACE ChEMBL2034 Ki ChEMBL2034 dataset, originally part of ChEMBL database [1], processed in MoleculeACE [2] for activity cliff evaluation. It is intended to be use through scikit-fingerprints library. The task is to predict the inhibitor constant (Ki) of molecules against the Glucocorticoid receptor target. Characteristic Description Tasks 1 Task type regression Total samples 750 Recommended split activity_cliff Recommended metric RMSE… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeACE_chembl2034_ki.
| Author / organization | scikit-fingerprints |
|---|---|
| License (as declared) | cc-by-sa-3.0 |
| Downloads | 262 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 September 2025 |
| Last updated at source | 15 October 2025 |
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