Abstract: The present disclosure relates to DNA-peptide hybrid molecules. In some embodiments, the DNA-peptide hybrid molecules comprise target-specific binding peptides which selectively bind to a target molecule. Methods of using DNA-peptide hybrid molecules in the treatment of diseases or disorders are also provided.

Abstract: Described herein is a DNA nanotechnology-based platform for the delivery of nucleic acids into cells. The delivery platform relies on compacting cargo mRNA and/or ssDNA into single folded nanostructures that act as the primary structural vehicle material for nanoparticle delivery to cells. The described compositions and methods provide an alternative to packaging mRNA or ssDNA into lipid nanoparticle vehicles, which have complex formulation properties. Also described herein are strategies for protecting mRNA and/or ssDNA cargo and helping these nucleic acid molecules escape the endosome into the cytoplasm using a cationic peptide-PEG coating.

Abstract: The present disclosure relates to DNA-peptide hybrid molecules. In some embodiments, the DNA-peptide hybrid molecules comprise target-specific binding peptides which selectively bind to SARS-COV-2 surface glycoprotein. Methods of using DNA-peptide hybrid molecules in the treatment of SARS-COV-2 infection are also provided.

Abstract: The present disclosure relates to DNA nanocarriers and methods of use for stimulating an immune response in a host. In some embodiments, the DNA nanocarriers comprise SARS-CoV-2 surface glycoprotein.

Abstract: A computer-implemented system uses multiscale modeling and optimization algorithms to design DNA nanostructures that self-assemble into a target structure, such as a tetrastack lattice. The system converts a target structure into a Boolean Satisfiability problem and models nanostructure units as “patchy” nanostructure models, where patches encode kinetic properties that affect how each nanostructure model connects with other nanostructure models. The system iteratively simulates self-assembly of a plurality of nanostructure models into a nanostructure assembly model, and compares the nanostructure assembly model with the target structure to determine a set of optimal parameters (such as patch type assignments) for the nanostructure units that reliably result in self-assembly into the target structure.

Abstract: A general framework which transforms the inverse problem of self-assembly of colloidal crystals into a Boolean satisfiability problem for which solutions can be found numerically is described herein. Given a reference structure and the desired number of components, our approach produces designs for which the target structure is an energy minimum, and also allows to exclude solutions that correspond to competing structures.