Project description
Innovative pipeline for microbial production of plant metabolites
Microbial production of plant metabolites provides economic and environmental benefits in comparison with the traditional extraction and chemical methods. However, the microbial production of oxygenated plant metabolites (OPMs) mediated by cytochrome P450 enzymes is underexplored. Artificial intelligence (AI) and machine learning (ML) tools have very limited applications in engineering biology despite their rapid evolution. The EU-funded deCYPher project aims to develop and apply a standardised AI/ML pipeline in each step of the design-build-test-learn cycle in the biotech value chain and unlock the potential of OPM molecules. The goal is to contribute to the EU green deal by the transition to a circular bio-economy, enhancing the sustainability of bio-based value chains.
Objective
Microbial production of plant metabolites has economic & environmental benefits over traditional extraction and chemical methods. Despite initial progress & the successful market introduction of some molecules, the microbial production of oxygenated plant metabolites (OPMs) mediated by cytochrome P450 enzymes (CYPs) is still lagging, making them almost inaccessible to society. In contrast, artificial intelligence (AI) & machine learning (ML) tools are evolving rapidly, but their use for engineering biology is still underexplored. deCYPher applies these groundbreaking AI/ML techniques to unlock the OPM molecules to society.
deCYPher develops a standardised AI/ML pipeline to implement AI/ML in each step of the Design-Build-Test-Learn cycle, and across all steps in the biotech value chain. Combined with smart databases & synthetic biology (SynBio) tools, this AI/ML pipeline will generate opportunities for the whole biotech sector. Specifically, applied to OPMs, we (1) bioprospect & select specific CYPs, (2) correctly localise & express CYPs and (3) optimise the microbial cells & bioprocess. deCYPher involves stakeholders (industry, regulators, NGOs) and engages European citizens across several countries. This allows to reflect on the societal ramifications of the convergence of AI & SynBio.
The consortium brings together complementary expertise from 5 top RTOs, 3 SMEs, 1 LE & 1 bio-art association from 6 EU countries to unlock the full potential of OPMs. In parallel, deCYPher will enable the AI/ML sector to apply their tools in the biotech sector, by creating new production tools for industrial biotech and specifically impact industry (flavours & fragrances, phytonutrient) and society with novel products. deCYPher contributes to the EU green deal, supports the transition to a circular bioeconomy, increases resource efficiency, strengthens European competitiveness, innovates in a responsible and reflective manner & boosts sustainability of biobased value chains.
Fields of science
- natural sciencescomputer and information sciencesdatabases
- natural sciencesbiological sciencessynthetic biology
- social scienceseconomics and businesseconomicssustainable economy
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsenzymes
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
9000 Gent
Belgium