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factories, ii) designing tunable precision toggle switches for the controlled regulation of these shifts, and iii) developing toggle-switch-based inducible yeast strains for efficient biomanufacturing
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of these state transitions remains a challenge. The objectives of this thesis are: i) elucidating key drivers of metabolic shifts of interest in Saccharomyces cerevisiae cell factories, ii) designing tunable
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AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection. 2) knowledge-graph-based combinatorial experiment designs are used to span
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