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 : preq1_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (51 of 95: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b1241 b0351 b4069 b4384 b3752 b2297 b2458 b2779 b2926 b3617 b2407 b1982 b0261 b2913 b4381 b2406 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.392230 (mmol/gDw/h)
  Minimum Production Rate : 1.503395 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 27.154587
  EX_nh4_e : 11.753461
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.378347
  EX_so4_e : 0.098771
  EX_k_e : 0.076560
  EX_fe2_e : 0.006300
  EX_mg2_e : 0.003403
  EX_ca2_e : 0.002042
  EX_cl_e : 0.002042
  EX_cu2_e : 0.000278
  EX_mn2_e : 0.000271
  EX_zn2_e : 0.000134
  EX_ni2_e : 0.000127

Product: (mmol/gDw/h)
  EX_h2o_e : 50.376781
  EX_co2_e : 24.984252
  EX_h_e : 13.813924
  EX_ac_e : 4.195503
  Auxiliary production reaction : 1.503395
  DM_oxam_c : 0.000439
  DM_5drib_c : 0.000263
  DM_4crsol_c : 0.000087

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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