Sequence Predictive Recognition of Proteins and Peptides by Synthetic and Natural Receptors
Contribution to Book
The highly sequence-selective molecular recognition of proteins and peptides in Nature inspires and informs the development of synthetic receptors to mimic, measure, and modulate these processes. This chapter focuses on the cucurbit[n]urils, which have been particularly powerful in this regard. We describe the discovery and elaboration of the sequence-selective recognition of peptides by cucurbit[n]urils. In addition, we overview the development of this supramolecular chemistry into myriad applications and the extension to protein recognition. Finally, we compare the binding properties of synthetic receptors with those of natural N-recognins, proteases, and other sequence-selective protein receptors. The strong correlation between natural and synthetic receptors in their molecular basis for sequence recognition should serve to improve the design of next-generation compounds.
Royal Society of Chemistry
Cha, E., Clements, N., Hofman, C., Lavoie, B., Van Zile, A., Warden, L., & Urbach, A. R. (2020). Sequence predictive recognition of proteins and peptides by synthetic and natural receptors. In P. B. Crowley (Ed.), Supramolecular protein chemistry: Assembly, architecture and application (pp. 62-103). Royal Society of Chemistry. https://doi.org/10.1039/9781788019798-00062
Supramolecular Protein Chemistry: Assembly, Architecture and Application