SOURCE-LINKED INTELLIGENCE

Computational design of industrial enzymes for green chemistry

CORDIS · observation · Publication date unknown

This is achieved by integrating current Shortest Path Map-Ancestral Sequence Reconstruction (SPM-ASR)-based computational protocol developed in previous projects such as the ERC-StG NetMoDEzyme with deep learning techniques. Thanks to a well-thought-out exploitation and communication strategy, will make possible the premise of routine enzyme design. This will have a large-scale socio-economic impact, as it will reduce the production costs of many drugs and will allow industries to use environmentally friendly alternatives in line with new European policies.

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recordType

award

status

CLOSED

region

EU

value

150000

unit

EUR