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 : imacp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (73 of 103: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 37
  Gene deletion: b3399 b4382 b2744 b3708 b3008 b0871 b2779 b0160 b3844 b0517 b0120 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b0261 b0507 b4381 b2406 b0112 b3915 b0452 b0114 b0886 b2366 b0529 b2492 b0904 b0591 b2578 b1533 b3927 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.673117 (mmol/gDw/h)
  Minimum Production Rate : 0.407105 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 28.673381
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.157285
  EX_pi_e : 1.056398
  EX_so4_e : 0.169504
  EX_k_e : 0.131388
  EX_fe3_e : 0.010811
  EX_mg2_e : 0.005839
  EX_cl_e : 0.003504
  EX_ca2_e : 0.003504
  EX_cu2_e : 0.000477
  EX_mn2_e : 0.000465
  EX_zn2_e : 0.000230
  EX_ni2_e : 0.000217
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 50.194985
  EX_co2_e : 29.854029
  EX_h_e : 7.083356
  Auxiliary production reaction : 0.407105
  EX_alltn_e : 0.018366
  DM_5drib_c : 0.000452
  DM_4crsol_c : 0.000150

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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