Designing JNK3 inhibitors under a 10,000-call budget
Find molecules that a JNK3 activity model scores highly, within 10,000 oracle calls.
| 1 | { |
| 2 | "domain": "chemistry-materials", |
| 3 | "topics": [ |
| 4 | "molecular-design", |
| 5 | "drug-discovery" |
| 6 | ], |
| 7 | "type": "design", |
| 8 | "benchmark": { |
| 9 | "task": "Maximise the jnk3 oracle within 10,000 calls", |
| 10 | "metric": { |
| 11 | "name": "AUC top-10 (10,000-call budget)", |
| 12 | "better": "higher" |
| 13 | }, |
| 14 | "baseline": { |
| 15 | "name": "Best in the PMO paper (REINVENT)", |
| 16 | "score": 0.783 |
| 17 | } |
| 18 | }, |
| 19 | "source": { |
| 20 | "key": "pmo", |
| 21 | "name": "PMO (Practical Molecular Optimization)", |
| 22 | "url": "https://github.com/wenhao-gao/mol_opt", |
| 23 | "id": "jnk3", |
| 24 | "curator": "Wenhao Gao, Tianfan Fu, Jimeng Sun and Connor W. Coley", |
| 25 | "poser": "Wenhao Gao, Tianfan Fu, Jimeng Sun and Connor W. Coley", |
| 26 | "status": "open benchmark, accepting new methods", |
| 27 | "as_of": "2026-10-20", |
| 28 | "catalog": "0521c19bbd38" |
| 29 | } |
| 30 | } |