Objective Light Emitting Diodes (LEDs) are present in displays of the great majority of devices we use every day, including smartphones, computers, TVs, etc. Unfortunately, they use toxic non-renewable rare-earth materials for their functioning. Fluorescent Proteins (FPs) have already proven to be an eco-friendly alternative, but their performance over time decreases as the intensity of the excitation source increases. This is because FPs have not been naturally or artificially evolved to function as color converters in electronic devices. Since it is not possible to artificially evolve proteins under LED operation conditions (stress), AnBioLED proposes to merge through machine learning evolutionary information (Ancestral Sequence Reconstruction) and computational protein design to identify key mutations in order to improve FPs photo and thermal stability. More importantly, AnBioLED will use experimental results under device operation conditions to reinforce the protein design strategy. The new ancestral FPs will merge the excellent photoluminescence properties of existing FPs with the robustness of their ancestors. AnBioLED novel approach will allow for the first time to optimize existing FPs for LEDs applications. Fields of science engineering and technologymaterials engineeringcolorsnatural sciencesbiological sciencesbiochemistrybiomoleculesproteinsnatural sciencesbiological sciencesgeneticsmutationengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phonesnatural sciencescomputer and information sciencesartificial intelligencemachine learning Keywords Bio-Hybrid White Light-Emitting Diodes Protein Engineering Fluorescent Proteins Biomaterials Programme(s) HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme Topic(s) HORIZON-MSCA-2021-PF-01-01 - MSCA Postdoctoral Fellowships 2021 Call for proposal HORIZON-MSCA-2021-PF-01 See other projects for this call Funding Scheme HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships Coordinator TECHNISCHE UNIVERSITAET MUENCHEN Net EU contribution € 173 847,36 Address Arcisstrasse 21 80333 Muenchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data
