A streamlined seven-component cell-free expression platform simplifies reaction design while maintaining high productivity and enabling robust synthesis of challenging proteins for diverse applications.
Squidly enables efficient identification of enzyme catalytic residues by integrating functional hierarchies into a contrastive learning framework, requiring only protein sequences to produce scalable predictions across the known enzyme landscape.
An in vivo small-molecule drug screen in developing zebrafish larvae identifies dozens of unique chemical modulators capable of reducing atherogenic apolipoprotein B levels.