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Lattice-free prediction of three-dimensional structure of programmed DNA assemblies

Author

Listed:
  • Keyao Pan

    (Massachusetts Institute of Technology)

  • Do-Nyun Kim

    (Seoul National University)

  • Fei Zhang

    (Center for Molecular Design and Biomimicry, the Biodesign Institute, Arizona State University
    Arizona State University)

  • Matthew R. Adendorff

    (Massachusetts Institute of Technology)

  • Hao Yan

    (Center for Molecular Design and Biomimicry, the Biodesign Institute, Arizona State University
    Arizona State University)

  • Mark Bathe

    (Massachusetts Institute of Technology)

Abstract

DNA can be programmed to self-assemble into high molecular weight 3D assemblies with precise nanometer-scale structural features. Although numerous sequence design strategies exist to realize these assemblies in solution, there is currently no computational framework to predict their 3D structures on the basis of programmed underlying multi-way junction topologies constrained by DNA duplexes. Here, we introduce such an approach and apply it to assemblies designed using the canonical immobile four-way junction. The procedure is used to predict the 3D structure of high molecular weight planar and spherical ring-like origami objects, a tile-based sheet-like ribbon, and a 3D crystalline tensegrity motif, in quantitative agreement with experiments. Our framework provides a new approach to predict programmed nucleic acid 3D structure on the basis of prescribed secondary structure motifs, with possible application to the design of such assemblies for use in biomolecular and materials science.

Suggested Citation

  • Keyao Pan & Do-Nyun Kim & Fei Zhang & Matthew R. Adendorff & Hao Yan & Mark Bathe, 2014. "Lattice-free prediction of three-dimensional structure of programmed DNA assemblies," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6578
    DOI: 10.1038/ncomms6578
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    Cited by:

    1. Jae Young Lee & Heeyuen Koh & Do-Nyun Kim, 2023. "A computational model for structural dynamics and reconfiguration of DNA assemblies," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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