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 : adphep_LD_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (32 of 49: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b3708 b3752 b2297 b2458 b2407 b1982 b2797 b3117 b1814 b4471 b3616 b3589 b0261 b2406 b0112 b3453 b0114 b2366 b2492 b0904 b1533 b2835 b2240 b0516 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.534715 (mmol/gDw/h)
  Minimum Production Rate : 0.800036 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 21.245792
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.777451
  EX_pi_e : 2.115861
  EX_so4_e : 0.134652
  EX_k_e : 0.104373
  EX_fe2_e : 0.008588
  EX_mg2_e : 0.004639
  EX_ca2_e : 0.002783
  EX_cl_e : 0.002783
  EX_cu2_e : 0.000379
  EX_mn2_e : 0.000369
  EX_zn2_e : 0.000182
  EX_ni2_e : 0.000173
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 45.710160
  EX_co2_e : 20.385121
  EX_h_e : 9.347219
  EX_ac_e : 2.031541
  Auxiliary production reaction : 0.800036
  EX_alltn_e : 0.000598
  DM_5drib_c : 0.000359
  DM_4crsol_c : 0.000119

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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