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 : forcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (38 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b4382 b4069 b4384 b3708 b3008 b3752 b3115 b1849 b2296 b2925 b2097 b2407 b0517 b2690 b1982 b2797 b3117 b1814 b4471 b0596 b0261 b3945 b2406 b0114 b1539 b2492 b0904 b2578 b1533 b3927 b2835 b0494 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.728447 (mmol/gDw/h)
  Minimum Production Rate : 0.010972 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 23.921944
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.814821
  EX_pi_e : 0.735582
  EX_so4_e : 0.629832
  EX_k_e : 0.142188
  EX_fe2_e : 0.011700
  EX_mg2_e : 0.006319
  EX_ca2_e : 0.003792
  EX_cl_e : 0.003792
  EX_cu2_e : 0.000516
  EX_mn2_e : 0.000503
  EX_zn2_e : 0.000248
  EX_ni2_e : 0.000235
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_h2o_e : 47.114954
  EX_co2_e : 25.917536
  EX_h_e : 7.607641
  EX_ac_e : 0.881458
  EX_cgly_e : 0.435422
  Auxiliary production reaction : 0.010972
  DM_5drib_c : 0.000489
  DM_4crsol_c : 0.000162

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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