scikit-fingerprints/Biogen_ADME_rPPB
Biogen ADME rPPB Biogen_ADME_rPPB 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 plasma protein binding (% unbound) of molecules. Characteristic Description Tasks 1 Task type regression Total samples 168 Recommended split time Recommended metric MAE References [1] Fang, Cheng, et al. "Prospective Validation of Machine Learning Algorithms for… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/Biogen_ADME_rPPB.
| Author / organization | scikit-fingerprints |
|---|---|
| License (as declared) | mit |
| Downloads | 181 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 April 2026 |
| Last updated at source | 4 April 2026 |
Popularity, last 3 days
181 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Biogen ADME rPPB Biogen_ADME_rPPB 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 plasma protein binding (% unbound) of molecules. Characteristic → Biogen ADME rPPB Biogen_ADME_rPPB 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 plasma protein binding (% unbound) of molecules. Characteristic
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 Information may be incomplete or out of date.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.