Lillian Tatka

Ptarmigan-1 uses contrastive learning to predict small molecule-protein interactions without requiring 3D structure, outperforming traditional methods on challenging targets.

This paper introduces a method to profile the regulome across human cell lines and perturbations, revealing transcription factor dynamics and drug responses.