Aldo Galeano

This paper introduces a stereochemistry-aware framework for drug-target affinity prediction, showing improved accuracy in distinguishing enantiomer affinities.

This paper introduces F2S, a method that predicts drug side effect frequencies by accounting for chirality, achieving comparable performance to state-of-the-art methods with fewer false positives.

This paper introduces Finenzyme, a Protein Language Model that improves EC category prediction through fine-tuning, generating functionally similar enzymes with preserved structure and function.