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 : adn_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (71 of 87: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 37
  Gene deletion: b2836 b4382 b0238 b0125 b4069 b4384 b2744 b3708 b2930 b4232 b3697 b3925 b2297 b2458 b2926 b0030 b2883 b1982 b0477 b2797 b3117 b1814 b4471 b3946 b0825 b2406 b2868 b4064 b4464 b0114 b1539 b2492 b0904 b1533 b3927 b1511 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.623965 (mmol/gDw/h)
  Minimum Production Rate : 0.264631 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 27.146916
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.064019
  EX_pi_e : 0.601880
  EX_so4_e : 0.157127
  EX_k_e : 0.121794
  EX_fe2_e : 0.010021
  EX_mg2_e : 0.005413
  EX_ca2_e : 0.003248
  EX_cl_e : 0.003248
  EX_cu2_e : 0.000442
  EX_mn2_e : 0.000431
  EX_zn2_e : 0.000213
  EX_ni2_e : 0.000202
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 47.208162
  EX_co2_e : 27.815842
  EX_h_e : 9.020225
  EX_ac_e : 1.961735
  Auxiliary production reaction : 0.264631
  EX_ade_e : 0.000420
  DM_mththf_c : 0.000280
  DM_5drib_c : 0.000140
  DM_4crsol_c : 0.000139

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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