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 : 25aics_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (30 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0871 b0160 b1982 b3616 b3589 b4374 b0675 b2361 b2291 b0261 b0507 b0112 b2975 b0114 b3603 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.457043 (mmol/gDw/h)
  Minimum Production Rate : 1.485737 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 20.685392
  EX_nh4_e : 10.879486
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.926604
  EX_so4_e : 0.115093
  EX_k_e : 0.089212
  EX_fe2_e : 0.007341
  EX_mg2_e : 0.003965
  EX_cl_e : 0.002379
  EX_ca2_e : 0.002379
  EX_cu2_e : 0.000324
  EX_mn2_e : 0.000316
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 46.560429
  EX_co2_e : 18.147055
  EX_h_e : 13.114940
  EX_acald_e : 1.888402
  Auxiliary production reaction : 1.485737
  DM_oxam_c : 0.000511
  DM_5drib_c : 0.000307
  DM_4crsol_c : 0.000102

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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