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 : atp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (55 of 72: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b4467 b3399 b4069 b2744 b2297 b2458 b0160 b3844 b1004 b3713 b1109 b0046 b3236 b1779 b0937 b1982 b0675 b2361 b0261 b1602 b2913 b4381 b1727 b0114 b0529 b2492 b0904 b1380 b1771 b0606 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.446649 (mmol/gDw/h)
  Minimum Production Rate : 0.194438 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 37.214992
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.844707
  EX_pi_e : 1.014155
  EX_so4_e : 0.112475
  EX_k_e : 0.087183
  EX_fe2_e : 0.007174
  EX_mg2_e : 0.003875
  EX_ca2_e : 0.002325
  EX_cl_e : 0.002325
  EX_cu2_e : 0.000317
  EX_mn2_e : 0.000309
  EX_zn2_e : 0.000152
  EX_ni2_e : 0.000144
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 52.278263
  EX_co2_e : 37.651687
  EX_h_e : 5.492433
  EX_3hpp_e : 0.496351
  EX_ac_e : 0.260033
  Auxiliary production reaction : 0.194438
  EX_hxan_e : 0.012187
  DM_5drib_c : 0.000300
  DM_4crsol_c : 0.000100

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 (2023).
[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: 09-Jul-2025
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