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 : dump_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b4467 b3399 b4069 b2744 b2297 b2458 b1004 b3713 b1109 b0046 b3236 b1982 b0675 b2361 b0261 b0505 b3945 b1602 b2913 b4381 b3915 b1727 b0114 b0755 b3612 b0529 b2492 b0904 b1380 b0606 b2285 b1011 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.478606 (mmol/gDw/h)
  Minimum Production Rate : 0.134482 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 37.272177
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.291524
  EX_pi_e : 0.596149
  EX_so4_e : 0.120523
  EX_k_e : 0.093421
  EX_fe3_e : 0.007687
  EX_mg2_e : 0.004152
  EX_ca2_e : 0.002491
  EX_cl_e : 0.002491
  EX_cu2_e : 0.000339
  EX_mn2_e : 0.000331
  EX_zn2_e : 0.000163
  EX_ni2_e : 0.000155
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 53.017650
  EX_co2_e : 37.704891
  EX_h_e : 5.806567
  EX_ac_e : 0.278638
  EX_ade_e : 0.147328
  Auxiliary production reaction : 0.134482
  EX_xan_e : 0.029254
  DM_5drib_c : 0.000108
  DM_4crsol_c : 0.000107

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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