Existing models for predicting compound-protein interactions (CPIs) struggle with novel molecules and sparse data. Here, authors introduce a framework that combines pre-trained feature extraction with transformer dynamic tuning to improve CPI prediction.
- Qichang Zhao
- Haochen Zhao
- Jianxin Wang
