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

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 o...

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Bibliographic Details
Main Authors: Pan, Keyao, Kim, Do-Nyun, Zhang, Fei, Yan, Hao, Bathe, Mark, Adendorff, Matthew Ralph
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Nature Publishing Group 2014
Online Access:http://hdl.handle.net/1721.1/92017
https://orcid.org/0000-0002-9538-4996
https://orcid.org/0000-0003-4573-5206
https://orcid.org/0000-0002-6199-6855
Description
Summary: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.