A neural network pipeline ranks plausible multistep metabolic pathways after training binary classifiers on real versus artificially generated reactions from public databases and enzymatic templates.
Kegg: new perspectives on genomes, pathways, diseases and drugs.Nucleic acids research, 45(D1):D353– D361, 2017
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Computational framework for multistep metabolic pathway design
A neural network pipeline ranks plausible multistep metabolic pathways after training binary classifiers on real versus artificially generated reactions from public databases and enzymatic templates.