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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- social sciences political sciences political policies civil society civil society organisations nongovernmental organizations
- social sciences economics and business economics bioeconomy
- natural sciences biological sciences biochemistry biomolecules proteins enzymes
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.2.6 - Food, Bioeconomy Natural Resources, Agriculture and Environment
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.2.6.6 - Bio-based Innovation Systems in the EU Bioeconomy
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL6-2022-CIRCBIO-02-two-stage
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
9000 GENT
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.