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 : amet_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (75 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b4467 b3399 b4069 b2744 b3708 b2297 b2458 b2779 b0160 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b1982 b2797 b3117 b1814 b4471 b4374 b0675 b2361 b2291 b0261 b3945 b1602 b2913 b1727 b0114 b1539 b2492 b0904 b1533 b3927 b3821 b1380 b0606 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.469563 (mmol/gDw/h)
  Minimum Production Rate : 0.119343 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 36.791070
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.789401
  EX_pi_e : 0.452943
  EX_so4_e : 0.237589
  EX_k_e : 0.091655
  EX_fe2_e : 0.007542
  EX_mg2_e : 0.004073
  EX_cl_e : 0.002444
  EX_ca2_e : 0.002444
  EX_cu2_e : 0.000333
  EX_mn2_e : 0.000324
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000152
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 51.867312
  EX_co2_e : 37.791918
  EX_h_e : 5.185854
  EX_ac_e : 0.392716
  Auxiliary production reaction : 0.119343
  EX_3hpp_e : 0.118475
  EX_hxan_e : 0.000525
  DM_5drib_c : 0.000315
  DM_4crsol_c : 0.000105

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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