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Updated: Dec 16, 2025

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Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
Published on: February 6, 2020
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Sequence-directed dynamic covalent assembly of base-4-encoded oligomers
S C Leguizamon1, M F Dunn1, T F Scott2
1Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Summary
Researchers mimicked DNA's information-dense encoding using base-4 oligo(peptoid)s. They achieved selective assembly of molecular structures like ladders and grids through orthogonal dynamic covalent interactions.
Area of Science:
- Biomimetic chemistry
- Supramolecular chemistry
- Synthetic biology
Background:
- Deoxyribonucleic acid (DNA) is a fundamental information-carrying biomacromolecule, utilizing a base-4 encoding system with four nucleobases.
- The sequence-selective hybridization of DNA is a highly specific and information-dense process.
- Developing synthetic systems that mimic DNA's information storage and retrieval capabilities is a key challenge in molecular science.
Purpose of the Study:
- To develop synthetic molecules capable of information-dense, sequence-selective assembly.
- To create molecular architectures such as ladders and grids using a base-4 encoding system.
- To explore the utility of dynamic covalent chemistry for programmable molecular self-assembly.
Main Methods:
- Design and synthesis of base-4 encoded oligo(peptoid)s.
- Utilizing two orthogonal dynamic covalent interactions for controlled coupling.
- Characterization of self-assembled molecular structures (ladders and grids).
Main Results:
- Demonstrated successful base-4 encoding in oligo(peptoid)s, analogous to DNA.
- Achieved selective formation of molecular ladders and grids through orthogonal dynamic covalent bonds.
- Validated the information-dense and sequence-selective nature of the designed oligo(peptoid) system.
Conclusions:
- Base-4 encoded oligo(peptoid)s can effectively mimic DNA's information storage and selective binding properties.
- Orthogonal dynamic covalent interactions provide a powerful tool for programming the self-assembly of complex molecular architectures.
- This approach offers a new platform for creating sophisticated, information-driven molecular systems.
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