Machine Learning for Uncertainty Reduction in Biochemical Kinetic Models
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Study of a metabolic network with respect to the sensitivity of the metabolite concentrations and the metabolic fluxes to genetic, biochemical, and environmental variations requires knowledge of the kinetic properties of the enzymes in the network. Experim ...
A precise quantification of the effect of perturbations in a metabolic network depends on explicit knowledge of the kinetic properties of the enzymes of the individual reactions. However, a comprehensive knowledge of enzymes kinetics in a metabolic network ...
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One of the central problems in metabolic engineering deals with the identification of the "rate limiting steps", i.e. enzymes whose activities one should manipulate towards the achievement of a desirable performance. However, uncertainty about the kinetic ...
Information about the enzyme kinetics in a metabolic network will enable understanding of the function of the network and quant. prediction of the network responses to genetic and environmental perturbations. Despite recent advances in exptl. techniques, s ...
