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 for integration and interpretation of large-scale molecular data sets.Nucleic acids research, 40(D1):D109–D114
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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.