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"High-throughput screening of catalytically active inclusion bodies using laboratory automation and Bayesian optimization".

Laura Marie HelleckesKira KüstersChristian WagnerRebecca HamelRonja SaborowskiJan MarienhagenWolfgang WiechertMarko Oldiges
Published in: Microbial cell factories (2024)
At the current state of knowledge, every new enzyme requires screening for different linker/aggregation-inducing tag combinations. For this purpose, the presented CatIB toolbox facilitates fast and simplified construction and screening procedures. The methodology thus assists in finding the best CatIB producer from large libraries in short time, rendering possible automated Design-Build-Test-Learn cycles to generate structure/function learnings.
Keyphrases
  • healthcare
  • machine learning
  • high throughput
  • deep learning
  • single cell