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Project

Synthetic biology and artificial intelligence, mutual learning to advance together and jointly drive industrial biotechnology - accelerating knowledge discovery and strain engineering

This project aims the development of novel and innovativemachine learning and synthetic biology parts, tools and techniques by mutual learning, to jointly drive the strain engineering process. This ensemble will enable reliable forward engineering, which will be demonstrated by the development of a microbial cell factory for the flavonoid kaempferol.

Date:1 Oct 2016 →  31 Jul 2021
Keywords:artificial intelligence, Synthetic biology, Industrial biotechnology
Disciplines:Biochemistry and metabolism, Industrial microbiology, Synthetic biology, Computational biomodelling and machine learning