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Updated: May 15, 2025

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
Published on: February 6, 2020
Redox-Controlled, Sequential Self-Sorting of Supramolecular Assemblies in Model Protocells.
Satyajit Patra1, Shikha Dhiman1,2, Subi J George1
1New Chemistry Unit and School of Advanced Materials (SAMat), Jawaharlal Nehru Centre for Advanced Scientific Research(JNCASR), Jakkur, Bangalore, 560064, India.
Researchers developed a new method for sequential self-sorting of synthetic assemblies using redox-controlled reactions. This approach mimics biological self-organization, enabling stepwise formation of complex structures within model protocells.
Area of Science:
- Supramolecular chemistry
- Biomimetic systems
- Chemical kinetics
Background:
- Cellular self-sorting maintains biological order and function.
- Synthetic self-assembly traditionally uses thermodynamic control.
- Kinetically controlled self-assembly is crucial for biological spatiotemporal organization.
Purpose of the Study:
- To achieve sequential self-sorting in synthetic assemblies using kinetic control.
- To develop multi-component biomimetic systems mimicking cellular self-organization.
- To demonstrate stepwise formation of self-sorted structures within model protocells.
Main Methods:
- Exploiting differences in monomer chemical reactivity coupled to redox reactions.
- Utilizing distinct redox potentials for temporal control of self-sorting.
- Employing reversible oxidation and reduction reactions to control assembly and disassembly.
Main Results:
- Achieved sequential self-sorting of supramolecular assemblies based on monomer reactivity.
- Demonstrated kinetically controlled growth of self-sorted structures within lipid vesicles.
- Showcased transient disruption and reassembly of assemblies via redox reactions.
Conclusions:
- The developed strategy enables temporal control over synthetic self-assembly.
- This approach provides a pathway for creating complex, multi-component biomimetic systems.
- The method facilitates stepwise formation of self-sorted assemblies within protocell models.
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