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

Diehl, Christoph

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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Bibliographische Detailangaben
1. Verfasser:	Diehl, Christoph
Beteiligte:	Erb, Tobias J. (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Format:	Dissertation
Sprache:	Englisch
Veröffentlicht:	Philipps-Universität Marburg 2022
Schlagworte:	biochemistry, synthetic biology, synthetic metabolism, carbon dioxide fixation, machine learning, polyketide synthases, value-added compounds, Naturwissenschaften Natural sciences & mathematics
Online Zugang:	PDF-Volltext
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Machine learning guided optimization of an artificial carbon dioxide fixation cycle and its extension towards value-added compounds

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