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 : glyc__R_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b1241 b0351 b4069 b4384 b2744 b3708 b2297 b2458 b2779 b3617 b0030 b1238 b2883 b1779 b1982 b2797 b3117 b1814 b4471 b0261 b4381 b2406 b0112 b2868 b4064 b4464 b0114 b1539 b2492 b0904 b1533 b3821 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.457177 (mmol/gDw/h)
  Minimum Production Rate : 0.342165 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.641250
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.360150
  EX_pi_e : 0.440996
  EX_so4_e : 0.115126
  EX_k_e : 0.089238
  EX_fe2_e : 0.007343
  EX_mg2_e : 0.003966
  EX_ca2_e : 0.002380
  EX_cl_e : 0.002380
  EX_cu2_e : 0.000324
  EX_mn2_e : 0.000316
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 46.072811
  EX_co2_e : 25.102604
  EX_h_e : 9.702518
  EX_ac_e : 1.736951
  EX_ade_e : 0.684535
  DM_5drib_c : 0.684331
  DM_4crsol_c : 0.684126
  EX_glyc__R_e : 0.342165

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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