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 : 5caiz_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (54 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b4467 b1478 b4382 b1241 b4069 b4384 b3752 b3115 b1849 b2296 b2779 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b1982 b0261 b0411 b2799 b3945 b1602 b0529 b2492 b0904 b1380 b2660 b0606 b2285 b1007   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.350015 (mmol/gDw/h)
  Minimum Production Rate : 1.100987 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 36.770250
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.084663
  EX_pi_e : 1.438614
  EX_so4_e : 0.088141
  EX_k_e : 0.068321
  EX_fe2_e : 0.005622
  EX_mg2_e : 0.003036
  EX_ca2_e : 0.001822
  EX_cl_e : 0.001822
  EX_cu2_e : 0.000248
  EX_mn2_e : 0.000242
  EX_zn2_e : 0.000119
  EX_ni2_e : 0.000113

Product: (mmol/gDw/h)
  EX_h2o_e : 53.368669
  EX_co2_e : 35.314313
  EX_h_e : 7.825369
  Auxiliary production reaction : 1.100987
  EX_ac_e : 0.203774
  EX_hxan_e : 0.000392
  DM_5drib_c : 0.000235
  DM_4crsol_c : 0.000078

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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