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This study introduces nucleic acids for building dynamic chemical networks that mimic natural biological systems. These networks exhibit adaptive behaviors and have potential applications in catalysis and materials science.

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Area of Science:

  • Systems Chemistry
  • Supramolecular Chemistry
  • Chemical Biology

Background:

  • Nature utilizes complex intracellular networks of DNA, RNA, and proteins for programmed reactions.
  • Mimicking these natural dynamic processes through chemical means is a key goal in Systems Chemistry.

Purpose of the Study:

  • To introduce nucleic acids as functional modules for constructing Constitutional Dynamic Networks (CDNs).
  • To explore the adaptive and responsive properties of nucleic acid-based CDNs.
  • To discuss the potential applications and future directions of CDNs.

Main Methods:

  • Utilizing nucleic acid base sequences as building blocks for CDNs.
  • Designing signal-triggered reconfigurable CDNs.
  • Investigating intercommunication and feedback mechanisms within CDN systems.

Main Results:

  • Nucleic acid-based CDNs demonstrate adaptive and hierarchically adaptive properties.
  • These networks exhibit intercommunication and feedback-driven pathways.
  • CDNs show potential in programmed catalysis, nanoparticle assembly, and hydrogel functionalities.

Conclusions:

  • Nucleic acids offer a versatile platform for creating complex, adaptive CDNs.
  • CDNs represent a promising approach for mimicking natural systems and developing novel functional materials.
  • Future research includes transient CDNs, protein synthesis, and artificial cell development.