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 (23 of 103: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b1241 b0351 b4069 b4384 b2744 b3752 b3115 b1849 b2296 b2407 b3616 b3589 b3665 b0411 b4381 b0112 b3654 b3714 b3664 b0114 b0529 b2492 b0904 b3662 b1517   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.561362 (mmol/gDw/h)
  Minimum Production Rate : 2.153179 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 22.276188
  EX_nh4_e : 10.369023
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.694673
  EX_so4_e : 0.141362
  EX_k_e : 0.109574
  EX_fe2_e : 0.009016
  EX_mg2_e : 0.004870
  EX_ca2_e : 0.002922
  EX_cl_e : 0.002922
  EX_cu2_e : 0.000398
  EX_mn2_e : 0.000388
  EX_zn2_e : 0.000191
  EX_ni2_e : 0.000181
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 50.140656
  EX_co2_e : 22.397557
  EX_h_e : 10.284764
  Auxiliary production reaction : 2.153179
  EX_ac_e : 0.820385
  DM_mththf_c : 0.000251
  DM_5drib_c : 0.000126
  DM_4crsol_c : 0.000125

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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