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 (11 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4069 b4384 b3708 b3008 b0910 b3752 b2297 b2458 b2407 b1982 b2797 b3117 b1814 b4471 b0261 b4381 b2406 b0452 b0114 b2366 b2492 b0904 b1533 b3927 b2835 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.732899 (mmol/gDw/h)
  Minimum Production Rate : 0.186237 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.332643
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.032670
  EX_pi_e : 0.706959
  EX_so4_e : 0.370796
  EX_k_e : 0.143057
  EX_fe2_e : 0.011771
  EX_mg2_e : 0.006358
  EX_ca2_e : 0.003815
  EX_cl_e : 0.003815
  EX_cu2_e : 0.000520
  EX_mn2_e : 0.000506
  EX_zn2_e : 0.000250
  EX_ni2_e : 0.000237
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_h2o_e : 47.857985
  EX_co2_e : 25.896828
  EX_h_e : 7.905801
  EX_ac_e : 0.612921
  Auxiliary production reaction : 0.186237
  DM_5drib_c : 0.000492
  DM_4crsol_c : 0.000163

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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