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Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures
Published on: June 26, 2020
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Peptide Assembly Directed and Quantified Using Megadalton DNA Nanostructures.
Juan Jin1, Emily G Baker2, Christopher W Wood2
1Department of Physics, Clarendon Laboratory , University of Oxford , Parks Road , Oxford OX1 3PU , United Kingdom.
ACS Nano
|August 6, 2019
Summary
DNA nanostructures template peptide interactions, enabling quantification of multivalent binding. This method allows measurement of low-affinity peptide interactions and programmed assembly of synthetic biomolecular structures.
Area of Science:
- Biomolecular Engineering
- Supramolecular Chemistry
- Nanotechnology
Background:
- Nature utilizes co-assembly of biomolecules for functional structures.
- Quantifying multivalent interactions, especially low-affinity ones, remains challenging.
Purpose of the Study:
- To demonstrate DNA nanostructures as a platform for templating peptide interactions.
- To enable quantification of multivalent peptide-peptide interactions.
- To program spatial organization of synthetic biomolecular assemblies.
Main Methods:
- Design of peptide-oligonucleotide conjugates with de novo coiled-coil peptides.
- Integration of conjugates into DNA origami nanostructures.
- Quantification of nanostructure association via electron microscopy.
- Estimation of dissociation constants from binding data.
Main Results:
- DNA nanostructures successfully templated peptide-peptide interactions.
- Dissociation constants for single and multivalent peptide interactions were measured.
- Results align with solution-phase measurements and reveal polyvalency effects.
- Access to previously unquantifiable low-affinity interactions was achieved.
Conclusions:
- DNA nanostructures serve as effective scaffolds for studying peptide interactions.
- This approach facilitates the measurement of weak binding affinities and polyvalency.
- Programmable hybrid biomolecular assemblies can be constructed for advanced applications.
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