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The Development and Opportunities of Predictive Biotechnology.

Bettina M NestlBernd A NebelVerena ReschMartin SchürmannDirk Tischler
Published in: Chembiochem : a European journal of chemical biology (2024)
Recent advances in bioeconomy allow a holistic view of existing and new process chains and enable novel production routines continuously advanced by academia and industry. All this progress benefits from a growing number of prediction tools that have found their way into the field. For example, automated genome annotations, tools for building model structures of proteins, and structural protein prediction methods such as AlphaFold2 TM or RoseTTAFold have gained popularity in recent years. Recently, it has become apparent that more and more AI-based tools are being developed and used for biocatalysis and biotechnology. This is an excellent opportunity for academia and industry to accelerate advancements in the field further. Biotechnology, as a rapidly growing interdisciplinary field, stands to benefit greatly from these developments.
Keyphrases
  • machine learning
  • artificial intelligence
  • high throughput
  • gene expression
  • genome wide
  • computed tomography
  • magnetic resonance
  • small molecule
  • diffusion weighted imaging