Peptides have demonstrated great potential in drug development. However, their broader application in modalities such as proteolysis-targeting chimeras (PROTACs) remains limited by the lack of real-time efficacy feedback and poor pharmacokinetic stability. Herein, we develop a covalent self-reporting peptide degrader (Co-SPeD) by integrating a fluorine-substituted aryl fluorosulfate warhead and a rotor fluorophore derived from stilbene derivatives, which allows for covalent binding to target proteins via sulfur(VI) fluoride exchange chemistry and emitting activatable fluorescence. Co-SPeD is found to covalently bind to the K51 residue of the MDM2 protein, enabling real-time monitoring of targeted MDM2 degradati... More
Peptides have demonstrated great potential in drug development. However, their broader application in modalities such as proteolysis-targeting chimeras (PROTACs) remains limited by the lack of real-time efficacy feedback and poor pharmacokinetic stability. Herein, we develop a covalent self-reporting peptide degrader (Co-SPeD) by integrating a fluorine-substituted aryl fluorosulfate warhead and a rotor fluorophore derived from stilbene derivatives, which allows for covalent binding to target proteins via sulfur(VI) fluoride exchange chemistry and emitting activatable fluorescence. Co-SPeD is found to covalently bind to the K51 residue of the MDM2 protein, enabling real-time monitoring of targeted MDM2 degradation. By swapping the targeting peptide and screening rotor fluorophores, the Co-SPeD platform is successfully extended to other oncogenic proteins, including BCL-xL, GRP78, and KRAS (G12D). Additionally, Co-SPeD demonstrates significant antitumor efficacy in preclinical tumor models. More importantly, real-time in vivo monitoring of MDM2 degradation using Co-SPeD plays a crucial role in guiding cisplatin combination administration, leading to a 50% increase in tumor growth inhibition compared to nonguided treatment groups. This approach provides a targeted endogenous protein degradation strategy with real-time monitoring, offering a powerful and generalizable platform for next-generation PROTAC design, the advancement of peptide-based therapeutics, and the rational optimization of cancer therapy.
