Table 1. Network properties and robustness compiled from all networks resulting from 100 simulations for each of the evolutionary scenarios.
M1 | M2 | R | V | M1fromV | M2fromV | RfromV | |
N Independent Fluxes | 1.3 | 1.4 | 1.2 | 4.1 | 1.4 | 1.5 | 1.6 |
N Enzymes | 545 | 542 | 509 | 724 | 596 | 600 | 587 |
N Multifunctional Enzymes | 48 | 49 | 35 | 177 | 21 | 32 | 31 |
Avg. Robustness per Multifunctional Enzyme | 0.890 | 0.874 | 0.935 | 0.677 | 0.886 | 0.929 | 0.893 |
Avg. Robustness per Monofunctional Enzyme | 0.078 | 0.104 | 0.127 | 0.416 | 0.210 | 0.111 | 0.134 |
Avg. Robustness For Networks With Multifunctional Enzyme | 0.281 | 0.297 | 0.338 | 0.614 | 0.263 | 0.313 | 0.427 |
Avg. Robustness For Networks Without Multifunctional Enzyme | 0.046 | 0.070 | 0.096 | 0.382 | 0.082 | 0.102 | 0.242 |
The columns labeled M1, M2, R, and V display results from networks evolved under the two minimal media, the rich media and the fluctuating media respectively. The last three columns show results of continued evolution of those networks, which were obtained under fluctuating evolution, in stable media M1, M2 and R. Multifunctional enzymes are defined as those, which can catalyze more than one group transfer reaction (see Methods ). Shown robustness values for networks evolved under fluctuation environment are those measured under rich media.