SOURCE-LINKED INTELLIGENCE
New-to-nature biocatalysts with metal-substituted proteins
ed enantio- and regioselectivity, even for substrates without directing groups. Our workflow integrates protein engineering, high-throughput screening, directed evolution, computational modelling and machine learning to obtain efficient, selective NoHaeCo biocatalysts. Target compounds include scaffolds related to Ensartinib, Sebetralstat and Etoricoxib. This interdisciplinary research combines i) biochemistry, ii) organometallic chemistry, iv) enzymology, and iv) computational science within the Thomas Ward group at the University of Basel, a world leader in artificial metalloenzymes. The fellowship will strengthen my scientific independence and competitiveness, equipping me with cutting-edge skills at the chemistry–biology interface. By advancing catalysis aligned with the European Green Deal, the project will reinforce Europe's leadership in sustainable synthesis for the pharmaceutical, agrochemical and fine-chemical sectors. Artificial metalloenzymes, directed evolution, biocatalysis
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 292118.88
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.