Open Internet by MindsNet

Cross-Dataset Collapse in Drug-Target Affinity Prediction

Drug-target affinity prediction models often perform well on benchmarks but collapse when tested across different datasets. This issue arises even with high reported performance on one dataset, only to see significant drops when applied to another. The challenge stems from the lack of generalizability across diverse datasets.

Computing & Technology, Computer Science, Machine Learning