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

01 October 2016 → 31 July 2021
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Computational biomodelling and machine learning
    • Synthetic biology
  • Engineering and technology
    • Industrial microbiology
Synthetic biology Industrial biotechnology artificial intelligence
Project description

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.