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 : 25aics_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (35 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b3399 b1241 b0351 b4069 b2502 b2744 b3115 b1849 b2296 b2779 b3617 b1779 b1982 b0675 b2361 b0261 b4388 b4381 b2406 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.372813 (mmol/gDw/h)
  Minimum Production Rate : 1.409463 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.703332
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.674376
  EX_pi_e : 1.769081
  EX_so4_e : 0.093882
  EX_k_e : 0.072771
  EX_fe2_e : 0.005988
  EX_mg2_e : 0.003234
  EX_ca2_e : 0.001940
  EX_cl_e : 0.001940
  EX_cu2_e : 0.000264
  EX_mn2_e : 0.000258
  EX_zn2_e : 0.000127
  EX_ni2_e : 0.000120

Product: (mmol/gDw/h)
  EX_h2o_e : 46.624765
  EX_co2_e : 21.255359
  EX_h_e : 14.451767
  EX_ac_e : 2.549087
  Auxiliary production reaction : 1.409463
  DM_oxam_c : 0.010172
  DM_5drib_c : 0.000250
  DM_4crsol_c : 0.000083

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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