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 : dcyt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (23 of 41: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b4467 b3399 b1241 b0351 b4069 b2502 b2744 b3115 b1849 b2296 b3617 b1238 b1004 b3713 b1109 b0046 b3236 b1779 b1982 b0675 b2361 b0261 b1602 b4381 b1727 b0114 b0529 b2492 b0904 b1380 b2660 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.367316 (mmol/gDw/h)
  Minimum Production Rate : 0.718700 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 33.543773
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.190680
  EX_pi_e : 0.354315
  EX_so4_e : 0.092497
  EX_k_e : 0.071697
  EX_mg2_e : 0.003186
  EX_fe2_e : 0.003031
  EX_fe3_e : 0.002868
  EX_cl_e : 0.001912
  EX_ca2_e : 0.001912
  EX_cu2_e : 0.000260
  EX_mn2_e : 0.000254
  EX_zn2_e : 0.000125
  EX_ni2_e : 0.000119

Product: (mmol/gDw/h)
  EX_h2o_e : 51.784989
  EX_co2_e : 33.244142
  EX_h_e : 7.815459
  Auxiliary production reaction : 0.718700
  EX_his__L_e : 0.689201
  EX_etoh_e : 0.323613
  EX_ac_e : 0.213846
  DM_5drib_c : 0.000246
  DM_4crsol_c : 0.000082

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.

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Last updated: 21-Sep-2023
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