Researchers at Germany's Max Planck Institute for Terrestrial Microbiology (MPI) and France's INRAe Institute have developed a modular software application for optimizing biological systems, which they said does not require computational skills to use.
The researchers applied the Machine learning guided Experimental Trials for Improvement of Systems (METIS) software to various applications, including optimization of protein production, genetic constructs, combinatorial engineering of enzyme activity, and a carbon dioxide (CO2) fixation metabolic cycle called CETCH.
MPI's Christoph Diehl said METIS can democratize and promote current bio¬technology, synthetic biology, genetic circuit design, and metabolic engineering research, and also "can be a very helpful system for prototyping new-to-nature systems."
From Max Planck Gesellschaft (Germany)
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