SOURCE-LINKED INTELLIGENCE
Ultrahigh-throughput exploration of metagenomic sequence space to discover and engineer novel biocatalysts and bioactive compounds
ng with label-free mass-spectrometric screens and liquid handling robots. On the in silico side, unprecedented availability of sequence data (e.g. more than 3 billion ORFs in the database MGnify) and machine learning will provide systematic insights based in sequence interpretation. The combination of sequence-based and functional metagenomics is extraordinarily powerful and our training programme bridges the classical divide between them. These skill sets, together with environmental DNA resources (from polar regions, hot environments, soil, marine & fresh-water and gut libraries) support campaigns to identify useful protein reagents, for green technology applications (e. g. for microplastics degradation, glycobiology or fine chemical synthesis), and healthcare (e.g. as bacteriocidal reagents or therapeutic enzymes). 11 leading academic groups and 2 industrial partners will work together in MetaExplore (and 9 companies and universities as associated partners and advisors). The unified efforts of leading stakeholders in the field of metagenomics from Europe will provide a uniquely po
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4614943.32
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.