Filtering by
- Member of: Theses and Dissertations
The field of biomedical research relies on the knowledge of binding interactions between various proteins of interest to create novel molecular targets for therapeutic purposes. While many of these interactions remain a mystery, knowledge of these properties and interactions could have significant medical applications in terms of understanding cell signaling and immunological defenses. Furthermore, there is evidence that machine learning and peptide microarrays can be used to make reliable predictions of where proteins could interact with each other without the definitive knowledge of the interactions. In this case, a neural network was used to predict the unknown binding interactions of TNFR2 onto LT-ɑ and TRAF2, and PD-L1 onto CD80, based off of the binding data from a sampling of protein-peptide interactions on a microarray. The accuracy and reliability of these predictions would rely on future research to confirm the interactions of these proteins, but the knowledge from these methods and predictions could have a future impact with regards to rational and structure-based drug design.
DNA nanotechnology is ideally suited for numerous applications from the crystallization and solution of macromolecular structures to the targeted delivery of therapeutic molecules. The foundational goal of structural DNA nanotechnology was the development of a lattice to host proteins for crystal structure solution. To further progress towards this goal, 36 unique four-armed DNA junctions were designed and crystallized for eventual solution of their 3D structures. While most of these junctions produced macroscale crystals which diffracted successfully, several prevented crystallization. Previous results used a fixed isomer and subsequent investigations adopted an alternate isomer to investigate the impact of these small sequence changes on the stability and structural properties of these crystals. DNA nanotechnology has also shown promise for a variety biomedical applications. In particular, DNA origami has been demonstrated as a promising tool for targeted and efficient delivery of drugs and vaccines due to their programmability and addressability to suit a variety of therapeutic cargo and biological functions. To this end, a previously designed DNA barrel nanostructure with a unique multimerizable pegboard architecture has been constructed and characterized via TEM for later evaluation of its stability under biological conditions for use in the targeted delivery of cargo, including CRISPR-containing adeno-associated viruses (AAVs) and mRNA.