Dmitrij Rappoport

This paper introduces Horizyn-1, a deep learning framework for enzyme discovery that improves performance with larger datasets and validates its effectiveness through experimental testing.

The paper predicts enzyme substrate selectivity using space-filling curve-based structural representations of proteins, achieving high accuracy with gradient-boosted classifiers.