Exhaustive Analysis of a Genotype Space Comprising 1015 Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation

Open Access

Peer-reviewed

Research Article

Exhaustive Analysis of a Genotype Space Comprising 10¹⁵ Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation

Sayed-Rzgar Hosseini,

Affiliations Institute of Evolutionary Biology and Environmental Sciences, University of Zürich, Zürich, Switzerland, Swiss Institute of Bioinformatics, Quartier Sorge, Batiment Genopode, Lausanne, Switzerland
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Aditya Barve,

Affiliations Institute of Evolutionary Biology and Environmental Sciences, University of Zürich, Zürich, Switzerland, Swiss Institute of Bioinformatics, Quartier Sorge, Batiment Genopode, Lausanne, Switzerland
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Andreas Wagner

* E-mail: andreas.wagner@ieu.uzh.ch

Affiliations Institute of Evolutionary Biology and Environmental Sciences, University of Zürich, Zürich, Switzerland, Swiss Institute of Bioinformatics, Quartier Sorge, Batiment Genopode, Lausanne, Switzerland, Santa Fe Institute, Santa Fe, New Mexico, United States of America
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Metabolic networks
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Glucose metabolism
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Enzyme metabolism
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Network analysis
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Variant genotypes
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Fructoses
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Enzymes
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Genomics
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