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Updated: Mar 17, 2026

Design and Synthesis of a Reconfigurable DNA Accordion Rack
Published on: August 15, 2018
Catalytic Reconfiguration of Meta-DNA Assemblies.
Meiyuan Qi1, Zhengwu Liang1, Jinyang Lv1
1State Key Laboratory of Synergistic Chem-Bio Synthesis, State Key Laboratory of Micro-Nano Engineering Science, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study, and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Researchers developed a new strategy for bioinspired nanorobots using DNA. This method enables faster, adaptive structural changes in nanostructures, overcoming previous limitations in responsiveness and robustness.
Area of Science:
- Biomimetic nanotechnology
- DNA nanotechnology
- Materials science
Background:
- Bioinspired nanorobots require adaptive structural reconfiguration for environmental responsiveness.
- A key challenge is balancing structural robustness with rapid reconfiguration capabilities.
- Existing DNA assemblies face limitations in dynamic adaptability.
Purpose of the Study:
- To present a novel reconfiguration strategy for meta-DNA (M-DNA) assemblies.
- To overcome the trade-off between robustness and responsiveness in nanostructures.
- To achieve rapid and programmable reconfigurations in adaptive biomimetic nanostructures.
Main Methods:
- Utilized toehold-mediated strand displacement reactions within M-DNA assemblies.
- Integrated cooperative DNA catalysis to accelerate reconfiguration.
- Employed molecular dynamics simulations to analyze reconfiguration pathways.
- Applied modular design principles for hierarchical M-DNA assemblies.
Main Results:
- Accelerated M-DNA reconfiguration by over an order of magnitude (from >12 h to <2 h).
- Achieved a maximum rate constant of 1.88 × 10^5 M^-1 s^-1.
- Demonstrated cooperative multivalent pathways driving efficient strand displacement and reconfiguration.
- Successfully achieved rapid and programmable reconfigurations in hierarchical M-DNA assemblies.
Conclusions:
- The developed strategy overcomes the intrinsic trade-off between robustness and dynamic adaptability in submicron DNA assemblies.
- This approach establishes a generalizable principle for engineering adaptive biomimetic nanostructures.
- The findings pave the way for advanced, responsive nanomaterials and nanorobots.
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