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
Process
Project
RDF description of 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 - http://irises.unimore.it/resource/project/PRJ-0485