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Table 3 Features of models used

From: Designing minimal microbial strains of desired functionality using a genetic algorithm

Model M1 M2 M3
Model source [15] [15] [15]
Growth conditions Anaerobic, glucose + minimal media Aerobic, glucose + minimal media Aerobic, xylose, arabinose, glucose, galactose and mannose + minimal media
No: reactions 59 60 71
No: metabolites 47 49 68
Total no: EFMs 5010 38001 429275
F 1 1.6170 1.6103 2.2770
 \(\max Y_{Etoh}\) 0.6667 0.6667 0.6667
 MCS cardinality 3 4 4
 Number of MCSs 22 82 76
 Number of EFMs 14 28 62
F 2 7.7860 8.5283 2.3169
 \(\max \eta _{Etoh}\) 0.1390 0.1542 0.1542
 MCS cardinality 10 13 16
 Number of MCSs 240 240 2880
 Number of EFMs 4 2 6
  1. Features of the networks on which the GA was tested. The maximum possible values for ethanol yield, \(Y_{Etoh}\) and efficiency, \(\eta _{Etoh}\) are presented. The minimal cardinality of MCSs which will force the network into these optimal values are also shown along with the total number of such MCSs and the number of EFMs which will survive after application of these MCSs. The corresponding fitness values, \(F_i\) have been obtained using the fitness functions presented in Table 4