From: OptPipe - a pipeline for optimizing metabolic engineering targets
Strain | Growth rate | min Nar | max Nar | Distance to WT | p-value | q-value | Method |
---|---|---|---|---|---|---|---|
(h −1) | (mmol/gDCW/h) | (mmol/gDCW/h) | (mmol/gDCW/h) | ||||
wild type | 0.50 | 0 | 0 | ||||
Δ ackA Δ metY | 0.32 | 0 | 0.50 | 400 | 0.0742 | 0.0779 | OptKnock a |
Δ pta Δ ilvA_ile | 0.20 | 0 | 0.50 | 404 | 0.2432 | 0.1197 | |
Δ pta Δ metY | 0.32 | 0 | 0.50 | 400 | 0.2342 | 0.1197 | |
Δ ackA Δ ilvA_ile | 0.20 | 0 | 0.50 | 404 | 0.4139 | 0.1285 | |
Δ ackA Δ metY | 0.32 | 0 | 0.50 | 400 | 0.3656 | 0.1285 | |
Δ sdhCAB Δ ddh | 0.21 | 0 | 0.50 | 545 | 0.5443 | 0.1285 | OptKnock |
Δ mdh Δ pyc | 0.23 | 0 | 0.49 | 39 | 0.5377 | 0.1285 | screening |
Δ pyc Δ zwf | 0.13 | 0 | 0.50 | 565 | 0.8300 | 0.1285 | |
Δ pyc Δ opcA | 0.13 | 0 | 0.50 | 565 | 0.8580 | 0.1285 | |
Δ pyc Δ gnd | 0.13 | 0 | 0.50 | 565 | 0.8784 | 0.1285 | |
Δ pyc Δ rpe | 0.16 | 0 | 0.50 | 441 | 0.7986 | 0.1285 | |
Δ pyc Δ tkt_1 | 0.15 | 0 | 0.50 | 532 | 0.8553 | 0.1285 | |
Δ pyc Δ tal | 0.15 | 0 | 0.50 | 532 | 0.8940 | 0.1285 | |
Δ pyc Δ tkt_2 | 0.17 | 0 | 0.50 | 413 | 0.8340 | 0.1285 | |
Δ pyc Δ pmmB | 0.19 | 0 | 0.17 | 47 | 0.7249 | 0.1285 |