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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

Project
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, selfassembling, 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.
  • Overview
  • Skills

Overview

Contributor

GAROLI Denis   Scientific Manager  

Representatives

CATTANI Grazia   Administrative  

Leading department

Department of Sciences and Method for Engineering   Principale  

Term type

HORIZON EUROPE

Financier

COMMISSIONE EUROPEA
Funding Organization

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Total Contribution (assigned) University (EUR)

281,755.08€

Date/time interval

March 1, 2026 - February 28, 2030

Project duration

48 months

Skills

Concepts (2)


PE3_4 - Electronic properties of materials, surfaces, interfaces, nanostructures - (2024)

Settore PHYS-03/A - Fisica sperimentale della materia e applicazioni
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