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Article
Sequence Predictive Recognition of Proteins and Peptides by Synthetic and Natural Receptors
Supramolecular Protein Chemistry: Assembly, Architecture and Application
  • Erin Cha, Trinity University
  • Nia Clements, Trinity University
  • Cristina R Hofman, Trinity University
  • Brylee Lavoie, Trinity University
  • Anna Van Zile, Trinity University
  • Lois Warden, Trinity University
  • Adam R Urbach, Trinity University
Document Type
Contribution to Book
Publication Date
12-1-2020
Abstract

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.

Identifier
85098625573 (Scopus)
DOI
10.1039/9781788019798-00062
Publisher
Royal Society of Chemistry
ISBN
9781788017541
Citation Information
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