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 : trp__L_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 116: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b3553 b0586 b1241 b0351 b4069 b4384 b3708 b2297 b2458 b2925 b2097 b2926 b3617 b0030 b2407 b1238 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b1033 b0261 b0507 b3709 b4381 b2406 b3161 b0112 b0452 b0114 b2366 b2492 b0904 b1533 b3825 b1473 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.408322 (mmol/gDw/h)
  Minimum Production Rate : 1.221821 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 23.377896
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.853940
  EX_pi_e : 0.393870
  EX_so4_e : 0.102824
  EX_k_e : 0.079702
  EX_fe2_e : 0.006558
  EX_mg2_e : 0.003542
  EX_ca2_e : 0.002125
  EX_cl_e : 0.002125
  EX_cu2_e : 0.000290
  EX_mn2_e : 0.000282
  EX_zn2_e : 0.000139
  EX_ni2_e : 0.000132
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 45.417575
  EX_co2_e : 24.859443
  EX_h_e : 8.665863
  EX_ac_e : 2.469210
  Auxiliary production reaction : 1.221821
  DM_oxam_c : 0.000457
  DM_5drib_c : 0.000274
  EX_glyclt_e : 0.000273
  DM_4crsol_c : 0.000091

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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