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 : acetol_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (24 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b4467 b2836 b1478 b0474 b1241 b0351 b4069 b3115 b1849 b2296 b1004 b3713 b1109 b0046 b3236 b1779 b3945 b1602 b3915 b2492 b0904 b1380 b2660 b0606 b2285 b1011 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.492375 (mmol/gDw/h)
  Minimum Production Rate : 0.166419 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 36.215098
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.317610
  EX_pi_e : 0.474948
  EX_so4_e : 0.123990
  EX_k_e : 0.096108
  EX_fe3_e : 0.007908
  EX_mg2_e : 0.004271
  EX_ca2_e : 0.002563
  EX_cl_e : 0.002563
  EX_cu2_e : 0.000349
  EX_mn2_e : 0.000340
  EX_zn2_e : 0.000168
  EX_ni2_e : 0.000159
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 50.349337
  EX_co2_e : 37.351023
  EX_h_e : 5.502037
  EX_ac_e : 0.969990
  Auxiliary production reaction : 0.166419
  DM_5drib_c : 0.000111
  DM_4crsol_c : 0.000110

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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