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 : paps_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (24 of 36: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: b4467 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b3752 b0871 b3617 b2407 b1004 b3713 b1109 b0046 b3236 b1982 b0261 b1602 b2913 b4381 b2406 b1727 b0114 b0529 b2492 b0904 b1380 b3662 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.394920 (mmol/gDw/h)
  Minimum Production Rate : 0.641895 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 33.305889
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.474572
  EX_pi_e : 1.664731
  EX_so4_e : 0.741343
  EX_k_e : 0.077086
  EX_fe2_e : 0.006343
  EX_mg2_e : 0.003426
  EX_ca2_e : 0.002056
  EX_cl_e : 0.002056
  EX_cu2_e : 0.000280
  EX_mn2_e : 0.000273
  EX_zn2_e : 0.000135
  EX_ni2_e : 0.000128

Product: (mmol/gDw/h)
  EX_h2o_e : 51.959268
  EX_co2_e : 34.152850
  EX_h_e : 5.554363
  EX_etoh_e : 1.608843
  Auxiliary production reaction : 0.641895
  DM_5drib_c : 0.000265
  DM_4crsol_c : 0.000088

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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