Traditional machine learning methods for drug development struggle with bioactivity prediction due to the limited number of compounds in each assay and assay incompatibilities. Feng et al. developed ActFound, a bioactivity foundation model trained by pairwise learning and meta-learning, that improves the accuracy and generalization of bioactivity prediction.
- Bin Feng
- Zequn Liu
- Sheng Wang
