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 : ins_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (87 of 109: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b4467 b1478 b4269 b0493 b3588 b3003 b3011 b1241 b4384 b3752 b0871 b2779 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b1982 b1602 b4381 b0114 b0529 b2492 b0904 b1380 b2660 b1771 b1517 b0606 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.467312 (mmol/gDw/h)
  Minimum Production Rate : 0.125252 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 37.458503
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.549194
  EX_pi_e : 0.450772
  EX_so4_e : 0.117678
  EX_k_e : 0.091216
  EX_fe2_e : 0.007505
  EX_mg2_e : 0.004054
  EX_cl_e : 0.002432
  EX_ca2_e : 0.002432
  EX_cu2_e : 0.000331
  EX_mn2_e : 0.000323
  EX_zn2_e : 0.000159
  EX_ni2_e : 0.000151
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 51.737605
  EX_co2_e : 38.141840
  EX_h_e : 5.270118
  EX_3hpp_e : 0.474005
  EX_ins_e : 0.125252
  EX_hxan_e : 0.000315
  DM_mththf_c : 0.000209
  DM_5drib_c : 0.000105
  DM_4crsol_c : 0.000104

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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