Machine learning guided optimization of an artificial carbon dioxide fixation cycle and its extension towards value-added compounds

The global carbon cycle is a highly balanced exchange system of carbon between the geo-, hydro- and atmosphere. Since the industrial revolution, the combustion of fossil fuels is one of the main reasons for the shift of carbon levels towards higher concentrations in the hydro- and atmosphere. The am...

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Bibliografski detalji

Glavni autor:	Diehl, Christoph
Daljnji autori:	Erb, Tobias J. (Prof. Dr.) (Savjetnik disertacije)
Format:	Dissertation
Jezik:	engleski
Izdano:	Philipps-Universität Marburg 2022
Teme:	Naturwissenschaften biochemistry, synthetic biology, synthetic metabolism, carbon dioxide fixation, machine learning, polyketide synthases, value-added compounds, Natural sciences & mathematics
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