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Machine learning for integrated multi-parametric enzyme and bioprocess design

CORDIS · observation · Publication date unknown

Machine learning for integrated multi-parametric enzyme and bioprocess design Currently, our world is facing several global challenges like climate change, water pollution, land erosion, resource depletion and unsustainable manufacturing. Biotechnology can provide many solutions to these problems. One example is the development of sustainable bioprocesses, which is at the heart of the EU’s green deal. Enzymes are nature’s catalysts at the core of such transformation since they can catalyse complex biocatalytic reactions. Biocatalysis has been slowly but gradually displacing traditional organic chemistry in several processes by virtue of its better efficacy, with the added value of being less wasteful as evidenced by the cornucopia of EPA Green Chemistry Awards conferred to enzymatic processes. Thanks to protein directed evolution (Nobel Prize 2018), enzyme function can be tailored to new

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recordType
award
status
SIGNED
region
EU
value
4470727.68
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.