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Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

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Redox-Controlled, Sequential Self-Sorting of Supramolecular Assemblies in Model Protocells.

Satyajit Patra¹, Shikha Dhiman^1,2, Subi J George¹

¹New Chemistry Unit and School of Advanced Materials (SAMat), Jawaharlal Nehru Centre for Advanced Scientific Research(JNCASR), Jakkur, Bangalore, 560064, India.

Angewandte Chemie (International Ed. in English)

|April 7, 2025

Summary

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.

Keywords:

Naphthalene diimides Protocells Redox reactions Self‐assembly Self‐sorting

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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.