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Updated: Aug 30, 2025

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Published on: February 7, 2017
Cavity-containing aromatic oligoamide foldamers and macrocycles: progress and future perspectives
Thomas A Sobiech1, Yulong Zhong1, Bing Gong1
1Department of Chemistry, University at Buffalo, the State University of New York, Buffalo, NY 14260, USA. bgong@buffalo.edu.
Aromatic oligoamide foldamers offer predictable conformations and defined cavities, enabling applications in host-guest chemistry and transmembrane transport. Further design allows for anion binding with tunable affinities.
Area of Science:
- Supramolecular Chemistry
- Organic Chemistry
- Materials Science
Background:
- Aromatic oligoamide foldamers are a significant class of foldamers known for their rigidity and predictable conformations.
- Intramolecular hydrogen bonds stabilize these foldamers into crescent or helical structures with defined inner cavities.
Purpose of the Study:
- To explore the conformational diversity and applications of aromatic oligoamide foldamers and their macrocyclic derivatives.
- To investigate the design of foldamers for specific functions such as host-guest complexation, transmembrane transport, and anion binding.
Main Methods:
- Synthesis of aromatic oligoamide foldamers and macrocycles with varying backbone constraints.
- Structural characterization of foldamer conformations (e.g., helical, crescent).
- Investigation of host-guest interactions and transmembrane transport properties.
Main Results:
- Foldamers with fully constrained backbones adopt stable helical or crescent shapes with well-defined cavities.
- Macrocyclic derivatives exhibit persistent shapes and non-deformable cavities, acting as hosts and transmembrane channels.
- Partially constrained foldamers show solvent- or guest-dependent folding.
- Aromatic oligoamides with multiple NH donors are designed for adjustable anion binding.
Conclusions:
- Aromatic oligoamide foldamers and macrocycles are versatile scaffolds for creating functional supramolecular systems.
- Conformational control through backbone constraint is key to their predictable behavior.
- These systems show promise for applications in molecular recognition, sensing, and transport phenomena.
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