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Table 1 Knockout impact on different networks

From: Double and multiple knockout simulations for genome-scale metabolic network reconstructions

Model    Single KOs Double KOs
  ub classes Impact Impact ratio
E. coli iJO1366 1718 1078 4.51 (16.6) 4.41 (10.1) 1.0%
E. coli iAF1260 1543 975 4.12 (13.7) 4.04 (9.24) 0.8%
S. cerevisiae iND750 631 371 5.42 (14.6) 5.52 (10.3) 2.7%
M. tuberculosis iNJ661 744 370 4.74 (35.6) 1.99 (5.78) 5.1%
S. aureus iSB619 465 207 11.7 (44.9) 7.31 (17.2) 9.2%
H. pylori iIT341 436 150 6.65 (58.6) 4.71 (15.5) 9.7%
E. coli textbook 87 55 1.96 (3.58) 15.7 (24.5) 12%
  1. ub: Number of unblocked reactions in the original network.
  2. classes: Number of different reaction classes, i.e., equivalence classes w.r.t. partial coupling .
  3. Single KOs impact: Average impact of single reaction knockouts, i.e., average number of reactions classes that become blocked by a single knockout. In brackets: Average number of reactions that become blocked (belonging to different reaction classes).
  4. Double KOs impact: Average additional impact of double reaction knockouts, i.e., average number of reactions classes that become blocked by a double knockout {r, s}, but are not blocked by a single knockout of either r or s. In brackets: Average number of additional reactions that become blocked.
  5. Double KOs ratio: Percentage of pairs of (uncoupled) reaction classes that have joint coupling effects. The average numbers are determined by $\boldsymbol {\frac {1}{|K|}\sum _{\kappa \in K}\text {impact}\;(\kappa)}$ with K =Rep for the single, and K = {{r, s} | r, s Rep with neither r $\boldsymbol {\stackrel {=0}{\rightarrow }}$ s in L nor s $\boldsymbol {\stackrel {=0}{\rightarrow }}$ r for the double knockouts.