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CADEE: Computer-Aided Directed Evolution of Enzymes.

Beat Anton AmreinFabian Steffen-MunsbergIreneusz SzelerMiha PurgYashraj KulkarniShina Caroline Lynn Kamerlin
Published in: IUCrJ (2017)
The tremendous interest in enzymes as biocatalysts has led to extensive work in enzyme engineering, as well as associated methodology development. Here, a new framework for computer-aided directed evolution of enzymes (CADEE) is presented which allows a drastic reduction in the time necessary to prepare and analyze in silico semi-automated directed evolution of enzymes. A pedagogical example of the application of CADEE to a real biological system is also presented in order to illustrate the CADEE workflow.
Keyphrases
  • machine learning
  • deep learning
  • high throughput
  • molecular docking