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Identifying patterns in kinetic parameters that determine the impact of rate-limiting enzymes

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Identifying patterns in kinetic parameters that determine the impact of rate-limiting enzymes

Graph Chatbot

Chattez avec Graph Search

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Machine Learning Techniques to address classification issues in Reverse Engineering

Models and Algorithms in Biological Network Evolution with Modularity

A Design-Build-Test cycle using modeling and experiments reveals interdependencies between upper glycolysis and xylose uptake in recombinant S. cerevisiae and improves predictive capabilities of large-scale kinetic models

Deciphering ambiguous control over fluxes through characterization and reduction of uncertainty

iSCHRUNK – In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

Exploring enhancement of 1,4-butanediol production in recombinant E. coli using Large-scale kinetic models

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iSCHRUNK – In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health

Identification of metabolic engineering targets for the enhancement of 1,4-butanediol production in recombinant E. coli using large-scale kinetic models