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.
Untersuchungen über aromatische verbindungen ueber die constitution der aromatischen verbindungen
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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.