Fig. 7
From: A generative framework for enhancing drug target interaction prediction in drug discovery
Error analysis of the VGAN-DTI model, revealing insights into predictive uncertainties and areas for refinement. By identifying error patterns and misclassified instances, this analysis guided targeted improvements in the molecular representation and model generalization. These insights contribute to enhancing the model’s robustness, optimizing generative learning strategies, and ultimately improving DTI prediction accuracy.
