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 : dadp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (76 of 95: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b4467 b4069 b4384 b3752 b3926 b2297 b2458 b2925 b2097 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b3946 b2210 b0825 b3945 b1602 b2913 b4381 b0114 b0529 b2492 b0904 b1380 b1518 b0606 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.377792 (mmol/gDw/h)
  Minimum Production Rate : 0.130930 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.856778
  EX_o2_e : 282.354990
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.736047
  EX_pi_e : 0.626281
  EX_so4_e : 0.095136
  EX_k_e : 0.073742
  EX_mg2_e : 0.003277
  EX_ca2_e : 0.001966
  EX_cl_e : 0.001966
  EX_cu2_e : 0.000268
  EX_mn2_e : 0.000261
  EX_zn2_e : 0.000129
  EX_ni2_e : 0.000122

Product: (mmol/gDw/h)
  EX_fe3_e : 999.993932
  EX_h2o_e : 544.578280
  EX_co2_e : 32.900228
  EX_ac_e : 5.140855
  Auxiliary production reaction : 0.130930
  EX_ade_e : 0.000254
  DM_mththf_c : 0.000169
  DM_5drib_c : 0.000085
  DM_4crsol_c : 0.000084

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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