Multi-Drug Transfer Learning Models for Efficient Pre-clinical Drug Discovery
Pre-clinical drug discovery faces the low efficiency dilemma. One of the reasons is the lack of cross-drug efficacy evaluation infrastructure at patient level. Here we propose Patient multiple drug learning(P-MDL) task, and construct the P-MDL dataset and model zoo. The best P-MDL model DSN-adv achieve SOTA in all of the 13 tumor types.
Institutions
- Beijing Academy of Artificial Intelligence (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
- Tsinghua University (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-14
- DOI
- https://doi.org/10.5281/zenodo.8021166
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00