scikit-fingerprints/Biogen_ADME_RLM_CLint
Biogen ADME RLM CLint Biogen_ADME_RLM_CLint dataset from the Biogen ADME benchmark [1]. It is intended to be used through scikit-fingerprints library. The task is to predict log10 of rat liver microsomal intrinsic clearance (RLM CLint, in mL/min/kg) of molecules. Characteristic Description Tasks 1 Task type regression Total samples 3054 Recommended split time Recommended metric MAE References [1] Fang, Cheng, et al. "Prospective Validation… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/Biogen_ADME_RLM_CLint.
| Author / organization | scikit-fingerprints |
|---|---|
| License (as declared) | mit |
| Downloads | 171 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 April 2026 |
| Last updated at source | 4 April 2026 |
Popularity, last 3 days
171 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Biogen ADME RLM CLint Biogen_ADME_RLM_CLint dataset from the Biogen ADME benchmark [1]. It is intended to be used through scikit-fingerprints library. The task is to predict log10 of rat liver microsomal intrinsic clearance (RLM CLint, in m → Biogen ADME RLM CLint Biogen_ADME_RLM_CLint dataset from the Biogen ADME benchmark [1]. It is intended to be used through scikit-fingerprints library. The task is to predict log10 of rat liver microsomal intrinsic clearance (RLM CLint, in m
Changes detected by Silytics between refreshes of the source.
More from scikit-fingerprints
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.