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 : forcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (7 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4384 b3708 b3008 b3752 b0871 b2925 b2097 b2407 b1779 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b0261 b4381 b2406 b0114 b2366 b2492 b0904 b1533 b3927 b3825 b0494 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.639356 (mmol/gDw/h)
  Minimum Production Rate : 0.062895 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 26.517742
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.345968
  EX_pi_e : 0.805411
  EX_so4_e : 0.223897
  EX_k_e : 0.124798
  EX_fe2_e : 0.010269
  EX_mg2_e : 0.005546
  EX_ca2_e : 0.003328
  EX_cl_e : 0.003328
  EX_cu2_e : 0.000453
  EX_mn2_e : 0.000442
  EX_zn2_e : 0.000218
  EX_ni2_e : 0.000207
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 46.947240
  EX_co2_e : 27.021021
  EX_h_e : 7.848044
  EX_pyr_e : 1.783273
  Auxiliary production reaction : 0.062895
  DM_oxam_c : 0.000715
  DM_5drib_c : 0.000429
  DM_4crsol_c : 0.000143

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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