Active Genetics & Molecular Biology Chemistry
Decoding and designing biomolecular systems with hybrid DNA:RNA: protein nanotechnology
Summary
Original abstract (not yet simplified)In recent years, we have witnessed the emergence of DNA nanotechnology that enables self-assembly of some of the largest and most complex functional molecular systems to date. Simultaneously, RNA plays a pivotal role in nanomedical advancements, notably in the development of Covid-19 vaccines. Moreover, utilising deep learning to address the protein prediction challenge paves the way for de novo protein...
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In recent years, we have witnessed the emergence of DNA nanotechnology that enables self-assembly of some of the largest and most complex functional molecular systems to date. Simultaneously, RNA plays a pivotal role in nanomedical advancements, notably in the development of Covid-19 vaccines. Moreover, utilising deep learning to address the protein prediction challenge paves the way for de novo protein design in the realm of protein nanotechnology. BioHYBRITE is designed as an innovative and pioneering training network, with the unique vision of developing the next-generation of biomolecular systems based on integrated hybrid DNA:RNA:Protein nanotechnology. BioHYBRITE brings together leading European research groups for combining all sequence-based biomolecules into a unified bottom-up nanobiotechnology. The consortium will collectively build modular platforms with a range of novel functions for molecular sensing, information processing and actuation. Thereby the collaboration synergizes a unique toolset of theoretical and experimental methods for designing and understanding the hybrid systems including state-of-the-art single-molecule and superresolution technology. The outcome will be a new generation of young experts in the development of smart, self-assembling, hybrid nano-devices that detect and act in complex biomolecular systems and will form the basis of a future nanomedicine based on active molecular systems. The doctoral candidates will be trained in all aspects for programmed design of hybrid bottom-up nanostructures, their characterization and use for decoding and interacting with biomolecular systems, thereby fully benefiting from the synergies of the different partners’ competences. The innovative and applied focus is supported by the involvement of pioneering industrial partners providing complementary skills training as well as intersectoral exchange of the doctoral candidates with a potential high impact in future exploitations.
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