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Programming biomolecular self-assembly pathways

Author

Listed:
  • Peng Yin

    (Department of Bioengineering,
    Department of Computer Science,)

  • Harry M. T. Choi

    (Department of Bioengineering,)

  • Colby R. Calvert

    (Department of Bioengineering,)

  • Niles A. Pierce

    (Department of Bioengineering,
    California Institute of Technology, Pasadena, California 91125, USA)

Abstract

Making strides with DNA DNA is the construction material of choice for self-assembling nanostructures, but most examples of its use have focused on specific targets, rather than aspiring to the versatility achieved in nature. Yin et al. take a step towards versatility with a new system, based on modular DNA 'hairpins', that allows assembly and disassembly pathways to be programmed into DNA building blocks. Key to the new protocol is the 'reaction graph', a simple representation of DNA modules and their interactions that simplifies the overall design process. This allows assembly programs to prepare branched junction molecules, self-catalysing pairs of DNA duplexes, molecular trees and a bipedal molecule that walks along a DNA track.

Suggested Citation

  • Peng Yin & Harry M. T. Choi & Colby R. Calvert & Niles A. Pierce, 2008. "Programming biomolecular self-assembly pathways," Nature, Nature, vol. 451(7176), pages 318-322, January.
    • Handle: RePEc:nat:nature:v:451:y:2008:i:7176:d:10.1038_nature06451
    DOI: 10.1038/nature06451
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    Cited by:

    1. Michael D. Dore & Muhammad Ghufran Rafique & Tianxiao Peter Yang & Marlo Zorman & Casey M. Platnich & Pengfei Xu & Tuan Trinh & Felix J. Rizzuto & Gonzalo Cosa & Jianing Li & Alba Guarné & Hanadi F. S, 2024. "Heat-activated growth of metastable and length-defined DNA fibers expands traditional polymer assembly," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Guillermo Rodrigo & Thomas E Landrain & Eszter Majer & José-Antonio Daròs & Alfonso Jaramillo, 2013. "Full Design Automation of Multi-State RNA Devices to Program Gene Expression Using Energy-Based Optimization," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-11, August.
    3. Hong Kang & Yuexuan Yang & Bryan Wei, 2024. "Synthetic molecular switches driven by DNA-modifying enzymes," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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