4.8 Article

Computational design of co-assembling protein-DNA nanowires

Journal

NATURE
Volume 525, Issue 7568, Pages 230-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature14874

Keywords

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Funding

  1. Defense Advanced Research Projects Agency Protein Design Processes Program, a National Security Science and Engineering Faculty Fellowship (NSSEFF) [N00244-09-1-0011, N00244-09-1-0082]
  2. Gordon and Betty Moore Foundation [GBMF2809]
  3. Gordon and Betty Moore Foundation
  4. Department of Energy
  5. National Institutes of Health

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Biomolecular self-assemblies are of great interest to nanotechnologists because of their functional versatility and their biocompatibility(1). Over the past decade, sophisticated single-component nanostructures composed exclusively of nucleic acids(2-5), peptides(6-8) and proteins(9-15) have been reported, and these nanostructures have been used in a wide range of applications, from drug delivery(16) to molecular computing(17). Despite these successes, the development of hybrid co-assemblies of nucleic acids and proteins has remained elusive. Here we use computational protein design to create a protein-DNA co-assembling nanomaterial whose assembly is driven via non-covalent interactions. To achieve this, a homodimerization interface is engineered onto the Drosophila Engrailed homeodomain (ENH), allowing the dimerized protein complex to bind to two double-stranded DNA (dsDNA) molecules. By varying the arrangement of protein-binding sites on the dsDNA, an irregular bulk nanoparticle or a nanowire with single-molecule width can be spontaneously formed by mixing the protein and dsDNA building blocks. We characterize the protein-DNA nanowire using fluorescence microscopy, atomic force microscopy and X-ray crystallography, confirming that the nanowire is formed via the proposed mechanism. This work lays the foundation for the development of new classes of protein-DNA hybrid materials. Further applications can be explored by incorporating DNA origami, DNA aptamers and/or peptide epitopes into the protein-DNA framework presented here.

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