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 : 5caiz_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3399 b4069 b2502 b2744 b3708 b3008 b3115 b1849 b2296 b1779 b1982 b2797 b3117 b1814 b4471 b4374 b0675 b2361 b2291 b0261 b0114 b1539 b2492 b0904 b1533 b3927 b3821   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.656868 (mmol/gDw/h)
  Minimum Production Rate : 0.417372 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.901975
  EX_o2_e : 277.946108
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.346238
  EX_pi_e : 1.050991
  EX_so4_e : 0.165413
  EX_k_e : 0.128216
  EX_mg2_e : 0.005698
  EX_ca2_e : 0.003419
  EX_cl_e : 0.003419
  EX_cu2_e : 0.000466
  EX_mn2_e : 0.000454
  EX_zn2_e : 0.000224
  EX_ni2_e : 0.000212
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_fe3_e : 999.989450
  EX_h2o_e : 549.195697
  EX_co2_e : 28.515919
  Auxiliary production reaction : 0.417372
  EX_ac_e : 0.382420
  DM_5drib_c : 0.000441
  DM_4crsol_c : 0.000146

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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