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 : ttdca_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (93 of 109: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b2744 b1278 b3614 b0910 b4152 b2781 b3236 b1612 b1611 b4122 b1638 b1759 b4374 b0675 b4138 b4123 b0621 b4381 b2406 b3731 b2197 b3029 b3918 b2660 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.235358 (mmol/gDw/h)
  Minimum Production Rate : 0.243470 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 15.061022
  EX_glc__D_e : 10.000000
  EX_nh4_e : 2.875652
  EX_pi_e : 0.227028
  EX_so4_e : 0.059268
  EX_k_e : 0.045940
  EX_fe2_e : 0.003780
  EX_mg2_e : 0.002042
  EX_ca2_e : 0.001225
  EX_cl_e : 0.001225
  EX_cu2_e : 0.000167
  EX_mn2_e : 0.000163
  EX_zn2_e : 0.000080
  EX_ni2_e : 0.000076

Product: (mmol/gDw/h)
  EX_h2o_e : 23.946129
  EX_h_e : 17.546045
  EX_co2_e : 16.651032
  EX_ac_e : 14.315347
  EX_succ_e : 0.245429
  Auxiliary production reaction : 0.243470
  EX_ura_e : 0.166904
  DM_5drib_c : 0.000053
  DM_4crsol_c : 0.000052

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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