MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.


Model : iML1515 [2].
Target metabolite : aacoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (58 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 54
  Gene deletion: b4467 b1855 b2836 b1478 b1241 b0351 b4069 b4384 b3708 b2297 b2458 b0030 b2407 b3844 b1238 b1004 b3713 b1109 b0046 b3236 b1779 b0120 b0937 b1982 b2797 b3117 b1814 b4471 b0261 b0411 b2799 b3945 b1602 b0507 b3709 b2913 b4381 b2406 b3161 b0112 b2975 b3603 b1539 b2492 b0904 b1533 b1380 b1473 b4141 b1798 b0606 b0221 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.354110 (mmol/gDw/h)
  Minimum Production Rate : 0.124285 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 34.890130
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.034301
  EX_pi_e : 0.714431
  EX_so4_e : 0.213457
  EX_k_e : 0.069120
  EX_fe2_e : 0.005687
  EX_mg2_e : 0.003072
  EX_ca2_e : 0.001843
  EX_cl_e : 0.001843
  EX_cu2_e : 0.000251
  EX_mn2_e : 0.000245
  EX_zn2_e : 0.000121
  EX_ni2_e : 0.000114

Product: (mmol/gDw/h)
  EX_h2o_e : 51.475176
  EX_co2_e : 34.366161
  EX_h_e : 7.622825
  EX_ac_e : 1.656317
  EX_gsn_e : 0.467673
  Auxiliary production reaction : 0.124285
  EX_hxan_e : 0.000396
  DM_5drib_c : 0.000238
  DM_4crsol_c : 0.000079

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].
  3. Select "Data > Load reaction data" and apply the downloaded file.

References
[1] Tamura, T. MetNetComp: Database for minimal and maximal gene deletion strategies for growth-coupled production of genome-scale metabolic networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, in press.
[2] Norsigian, C. J., Pusarla, N., McConn, J. L., Yurkovich, J. T., Dräger, A., Palsson, B. O., & King, Z. (2020). BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree. Nucleic acids research, 48(D1), D402-D406.
[3] King, Z. A., Dräger, A., Ebrahim, A., Sonnenschein, N., Lewis, N. E., & Palsson, B. O. (2015). Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways. PLoS computational biology, 11(8), e1004321.


Last updated: 21-Sep-2023
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