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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.