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 : pap_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (6 of 10: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3399 b4069 b2502 b2744 b3708 b3008 b2297 b2458 b1982 b2797 b3117 b1814 b4471 b2440 b4374 b0675 b2361 b2291 b0261 b2239 b0114 b1539 b2492 b0904 b1533 b3927   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.746803 (mmol/gDw/h)
  Minimum Production Rate : 0.263734 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.272789
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.541903
  EX_pi_e : 1.247839
  EX_so4_e : 0.266974
  EX_k_e : 0.145771
  EX_fe2_e : 0.011994
  EX_mg2_e : 0.006479
  EX_cl_e : 0.003887
  EX_ca2_e : 0.003887
  EX_cu2_e : 0.000529
  EX_mn2_e : 0.000516
  EX_zn2_e : 0.000255
  EX_ni2_e : 0.000241
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.751416
  EX_co2_e : 25.286226
  EX_h_e : 8.694283
  EX_ac_e : 0.513692
  Auxiliary production reaction : 0.263734
  EX_cgly_e : 0.078914
  DM_5drib_c : 0.000501
  DM_4crsol_c : 0.000167

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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