scikit-fingerprints/ASAP_OpenADMET_pIC50_MERS-CoV
ASAP-OpenADMET pIC50 MERS-CoV ASAP_OpenADMET_pIC50_MERS-CoV dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [1] [2] [3]. It is intended to be used through scikit-fingerprints library. The task is to predict pIC50 of molecules against MERS-CoV. Characteristic Description Tasks 1 Task type regression Total samples 1198 Recommended split time Recommended metric MAE References [1] ASAP Discovery "ASAP Discovery x… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/ASAP_OpenADMET_pIC50_MERS-CoV.
| Author / organization | scikit-fingerprints |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 193 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 April 2026 |
| Last updated at source | 4 April 2026 |
Popularity, last 4 days
193 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: ASAP-OpenADMET pIC50 MERS-CoV ASAP_OpenADMET_pIC50_MERS-CoV dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [1] [2] [3]. It is intended to be used through scikit-fingerprints library. The task is to predict pIC5 → ASAP-OpenADMET pIC50 MERS-CoV ASAP_OpenADMET_pIC50_MERS-CoV dataset from the ASAP Discovery-OpenADMET Antiviral Drug Discovery Challenge [1] [2] [3]. It is intended to be used through scikit-fingerprints library. The task is to predict pIC5
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 Information may be incomplete or out of date.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 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.