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 : ap4a_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 70: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b4382 b0238 b0125 b1241 b0351 b4069 b4384 b2744 b3115 b1849 b2296 b0030 b2883 b1982 b0477 b3616 b3589 b0261 b0411 b2868 b4064 b4464 b0114 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.575309 (mmol/gDw/h)
  Minimum Production Rate : 0.551282 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 22.998301
  EX_nh4_e : 11.729323
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.760074
  EX_so4_e : 0.144874
  EX_k_e : 0.112296
  EX_fe2_e : 0.009240
  EX_mg2_e : 0.004991
  EX_ca2_e : 0.002994
  EX_cl_e : 0.002994
  EX_cu2_e : 0.000408
  EX_mn2_e : 0.000398
  EX_zn2_e : 0.000196
  EX_ni2_e : 0.000186
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 51.551493
  EX_co2_e : 21.468130
  EX_h_e : 10.541051
  EX_ac_e : 1.943975
  Auxiliary production reaction : 0.551282
  EX_ade_e : 0.000644
  DM_5drib_c : 0.000386
  DM_4crsol_c : 0.000128

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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