Fujian Team Uses AI to Design TR23, a TROP-2-Targeting Peptide PET Tracer, Tested in Three Mouse Tumor Models
Researchers at Fujian Medical University reported in Bioconjugate Chemistry on October 8, 2026 that they used the PepMimic AI platform to design TR23, a peptide designed by mimicking a protein binding interface, and labeled it with gallium-68 for PET imaging. The tracer bound TROP-2, a protein common in many solid tumors and the target of the antibody-drug conjugate Trodelvy, with nanomolar strength, and gave clear, specific tumor signals in pancreatic, prostate, and thyroid cancer models in mice, with signal strength tracking TROP-2 levels in tissue. The work is preclinical.