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 : dudp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (43 of 77: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: b3553 b1478 b1241 b4069 b4384 b3752 b2297 b2458 b2926 b2407 b1004 b3713 b1109 b0046 b3236 b1982 b1033 b0261 b2799 b3945 b1602 b2913 b4381 b2406 b3915 b0529 b2492 b0904 b1380 b3662 b0606 b0221 b2285 b1010 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.366306 (mmol/gDw/h)
  Minimum Production Rate : 1.150425 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 33.263240
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.258564
  EX_pi_e : 2.654190
  EX_so4_e : 0.092243
  EX_k_e : 0.071500
  EX_fe3_e : 0.005883
  EX_mg2_e : 0.003178
  EX_ca2_e : 0.001907
  EX_cl_e : 0.001907
  EX_cu2_e : 0.000260
  EX_mn2_e : 0.000253
  EX_zn2_e : 0.000125
  EX_ni2_e : 0.000118

Product: (mmol/gDw/h)
  EX_h2o_e : 51.772325
  EX_co2_e : 32.895049
  EX_h_e : 5.380254
  Auxiliary production reaction : 1.150425
  EX_ac_e : 0.856540
  EX_hxan_e : 0.000410
  DM_5drib_c : 0.000246
  DM_4crsol_c : 0.000082

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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