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 : amp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 78: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b2744 b3752 b0871 b2883 b1982 b3616 b3589 b1623 b3665 b4381 b2406 b4064 b4464 b0114 b0529 b2492 b0904 b3662 b1518   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.604551 (mmol/gDw/h)
  Minimum Production Rate : 0.967211 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 22.851948
  EX_nh4_e : 11.367187
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.550364
  EX_so4_e : 0.152238
  EX_k_e : 0.118004
  EX_fe2_e : 0.009710
  EX_mg2_e : 0.005244
  EX_ca2_e : 0.003147
  EX_cl_e : 0.003147
  EX_cu2_e : 0.000429
  EX_mn2_e : 0.000418
  EX_zn2_e : 0.000206
  EX_ni2_e : 0.000195
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_h2o_e : 50.055631
  EX_co2_e : 22.480515
  EX_h_e : 10.392943
  EX_acald_e : 1.514978
  Auxiliary production reaction : 0.967211
  EX_ade_e : 0.000407
  DM_mththf_c : 0.000271
  DM_5drib_c : 0.000136
  DM_4crsol_c : 0.000135

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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