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Updated: Sep 13, 2025

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
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A Light-Induced Nonequilibrium Peptide Assembly Enables Programmable Catalysis.

Qipeng Chen1,2, Guohua Liu1, Mao Li2

  • 1College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200080, China.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|July 29, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a light-responsive peptide system that switches between nanofibers and nanoparticles. This transformation allows for programmable control over catalytic activity, enabling adaptive material design.

Keywords:
biocatalysisnonequilibrium assemblypeptide assemblyphoto‐responsive systemsupramolecular chemistry

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Area of Science:

  • Supramolecular Chemistry
  • Materials Science
  • Catalysis

Background:

  • Dynamic regulation of self-assembled structures is essential for biological functions.
  • Energy-driven processes control molecular activities in biological systems.
  • Nonequilibrium states offer unique opportunities for material design.

Purpose of the Study:

  • To develop a light-responsive peptide assembly system.
  • To control the transition between equilibrium and nonequilibrium states.
  • To program catalytic activity through morphological changes.

Main Methods:

  • Utilizing spiropyran's photoisomerization to control peptide assembly.
  • Switching between closed-ring spiropyran (SP) and open-ring merocyanine (MC) forms.
  • Investigating the morphological transition from nanofibers to nanoparticles.

Main Results:

  • Peptide assembly switches between stable nanofibers and energy-dependent nanoparticles.
  • Catalytic activity in Michael addition reactions is programmable.
  • Nanofibers show robust catalysis (>95% yield), while nanoparticles abolish activity under blue light.
  • Intermittent light exposure allows for tunable reaction progression.

Conclusions:

  • The light-responsive system couples structural dynamics with functional modulation.
  • This work provides a new approach for designing programmable catalysts.
  • The findings open avenues for creating adaptive materials with controlled functions.