Author
Amgen (United States)ORCID 0000-0002-9719-9639Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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Saratram Gopalakrishnan, William Johnson, Miguel Á. Valderrama-Gómez…·Nathan E. Lewis
Saratram Gopalakrishnan, William Johnson, Miguel Á. Valderrama-Gómez…·Nathan E. Lewis
COSMIC-dFBA predicts cell density, antibody titer, and metabolite concentrations in bioreactors by integrating machine learning with genome-scale metabolic models.
Saratram Gopalakrishnan, Chintan Jagdishchandra Joshi, Miguel Á. Valderrama-Gómez…·Nathan E. Lewis
The paper evaluates algorithms for generating context-specific metabolic models using gene expression data and identifies guidelines for selecting the best models.
Miguel Á. Valderrama-Gómez, Jason G. Lomnitz, Rick A. Fasani, Michael A. Savageau
The paper introduces DST3, a software tool for mechanistic modeling of biochemical systems without prior parameter values, using a phenotype-centric approach.