Quantum Sampling Opens a New Route Through Peptide Space

A hybrid quantum-classical workflow suggests a new way to generate peptide candidates, particularly when biological training data is scarce. Peptides occupy a productive middle ground in drug discovery. Built from short chains of amino acids, they are large enough to recognize complex biological surfaces with high affinity and selectivity, yet smaller and generally easier to manufacture than antibodies and other protein therapeutics. Their roles already range from hormones and metabolic drugs to antimicrobials and imaging agents. But the same chemical versatility that makes peptides attractive creates a…