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 (43 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b3399 b1241 b0351 b4069 b4384 b2744 b3708 b3115 b1849 b2296 b3617 b2407 b2797 b3117 b1814 b4471 b1623 b3665 b4374 b2361 b2291 b0261 b0411 b0112 b3654 b3714 b3664 b0114 b1539 b2492 b0904 b1533 b3821 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.550005 (mmol/gDw/h)
  Minimum Production Rate : 1.647054 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 20.542483
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.234110
  EX_pi_e : 2.177591
  EX_so4_e : 0.138502
  EX_k_e : 0.107357
  EX_fe2_e : 0.008834
  EX_mg2_e : 0.004771
  EX_ca2_e : 0.002863
  EX_cl_e : 0.002863
  EX_cu2_e : 0.000390
  EX_mn2_e : 0.000380
  EX_zn2_e : 0.000188
  EX_ni2_e : 0.000178
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 46.122626
  EX_co2_e : 20.069151
  EX_h_e : 9.613872
  Auxiliary production reaction : 1.647054
  EX_ac_e : 1.266103
  DM_5drib_c : 0.000124
  DM_4crsol_c : 0.000123

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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