Identification of Covalent Cyclic Peptide Inhibitors in mRNA Display.

Peptides have historically been underutilized for covalent inhibitor discovery, despite their unique abilities to interact with protein surfaces and interfaces. This is in part due to a lack of methods for screening and identifying covalent peptide ligands. Here, we report a method to identify covalent cyclic peptide inhibitors in mRNA display. We combine co- and post-translational library diversification strategies to create cyclic libraries with reactive dehydroalanines (Dhas), which we employ in selections against two model targets. The most potent hits exhibit low nanomolar inhibitory activities and disrupt known protein-protein interactions with their selected targets. Overall, we establish Dhas as electrophiles for covalent inhibition and showcase how separate library diversification methods can work synergistically to dispose mRNA display to novel applications like covalent inhibitor discovery.

Discovery and Structural Basis of the Selectivity of Potent Cyclic Peptide Inhibitors of MAGE-A4.

MAGE proteins are cancer testis antigens (CTAs) that are characterized by highly conserved MAGE homology domains (MHDs) and are increasingly being found to play pivotal roles in promoting aggressive cancer types. MAGE-A4, in particular, increases DNA damage tolerance and chemoresistance in a variety of cancers by stabilizing the E3-ligase RAD18 and promoting trans-lesion synthesis (TLS). Inhibition of the MAGE-A4:RAD18 axis could sensitize cancer cells to chemotherapeutics like platinating agents. We use an mRNA display of thioether cyclized peptides to identify a series of potent and highly selective macrocyclic inhibitors of the MAGE-A4:RAD18 interaction. Co-crystal structure indicates that these inhibitors bind in a pocket that is conserved across MHDs but take advantage of A4-specific residues to achieve high isoform selectivity. Cumulatively, our data represent the first reported inhibitor of the MAGE-A4:RAD18 interaction and establish biochemical tools and structural insights for the future development of MAGE-A4-targeted cellular probes.