iML1515

<p>The dataset is a genome scale metabolic network of the <em>E. coli</em>. 
  It consists of 2381 internal reactions, 331 exchange reactions and a biomass objective function.
  It contains 1515 genes.</p>

datasets

Different techniques of cost constrained flux balance analysis.
1- MetabOlic Modeling with ENzyme kineTics 'MOMENT' which uses enzyme kinetic data and enzyme molecular
weights to constrain flux balance analysis(FBA) and it is described in Adadi, R., Volkmer, B., Milo, R.,
Heinemann, M., & Shlomi, T. (2012). Prediction of Microbial Growth Rate versus Biomass Yield by a Metabolic Network
with Kinetic Parameters, 8(7). <doi:10.1371/journal.pcbi.1002575>.
2- an improvement of 'MOMENT' that considers multi-functional enzymes 'ccFBA'.
Described in Desouki, Abdelmoneim. Algorithms for improving the predictive power of flux balance analysis. PhD dissertation, 2016.
FBA is a mathematical technique to find fluxes in metabolic models at steady state.
It is described in Orth, J.D., Thiele, I. and Palsson, B.O.  What is flux balance analysis? Nat. Biotech. 28, 245-248(2010).

iML1515: Escherichia coli Metabolic Model iML1515

Description

Usage

Arguments

Format

References