Abstract
Protein-protein interactions stabilized by multiple separate hot spots are highly challenging targets for synthetic scaffolds. Surface-mimetic foldamers bearing multiple recognition segments are promising candidate inhibitors. In this work, a modular bottom-up approach is implemented by identifying short foldameric recognition segments that interact with the independent hot spots, and connecting them through dynamic covalent library (DCL) optimization. The independent hot spots of a model target (calmodulin) are mapped with hexameric β-peptide helices using a pull-down assay. Recognition segment hits are subjected to a target-templated DCL ligation through thiol-disulfide exchange. The most potent derivative displays low nanomolar affinity towards calmodulin and effectively inhibits the calmodulin-TRPV1 interaction. The DCL assembly of the folded segments offers an efficient approach towards the de novo development of a high-affinity inhibitor of protein-protein interactions.