|Network connectivity and stoichiometry||
K-shortest EFM: Enumerates the EFM in increasing order of number of reactions.|
Yield Analysis: Excludes EFM with negligible contribution to convex hull in yield space.
Fractional contributions of EFM: Estimates the EFM Coefficients based on calculated EFM thermodynamic properties.|
Maximum Entropy Principle: Calculates the EFM Coefficient by maximizing Shannon's entropy, which is an indirect measure of system complexity.
α-spectrum: Uses linear optimization to maximize and minimize the weightings of each metabolic pathway that produces steady state flux distributions.|
Flux regulation coefficients: Estimates the EFM coefficients that optimize a given performance function (e.g. minimum error in flux or yield prediction).
Quadratic program: Calculates the weights for a large set of EFM by using quadratic program to reconstruct flux distributions from subsets of EFM.
'-omics' data can be used to shrink the α-spectrum.|
Fluxomics and possibly other omic datasets
[15, 16, 38]|
|Enzyme kinetics||Quantitative elementary mode analysis of metabolic pathways: Combines structural and kinetic modelling to assess the effect of changes in enzyme kinetics on the usage of EFM.||Enzyme kinetic parameters|||