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 : 5aprbu_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (64 of 75: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 44
  Gene deletion: b3553 b1478 b1241 b4069 b4384 b2297 b2458 b2926 b0030 b2407 b1004 b3713 b1109 b0046 b3236 b1638 b3908 b1656 b1982 b0477 b4139 b1033 b4014 b0261 b2976 b2799 b3945 b1602 b0507 b2913 b4381 b2406 b3915 b1297 b0529 b2492 b0904 b2954 b1380 b3662 b1985 b0221 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.359769 (mmol/gDw/h)
  Minimum Production Rate : 0.753185 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 38.770862
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.899821
  EX_pi_e : 1.100220
  EX_so4_e : 0.090597
  EX_k_e : 0.070224
  EX_fe3_e : 0.005778
  EX_mg2_e : 0.003121
  EX_ca2_e : 0.001873
  EX_cl_e : 0.001873
  EX_cu2_e : 0.000255
  EX_mn2_e : 0.000249
  EX_zn2_e : 0.000123
  EX_ni2_e : 0.000116

Product: (mmol/gDw/h)
  EX_h2o_e : 53.559473
  EX_co2_e : 38.032765
  EX_h_e : 6.535278
  Auxiliary production reaction : 0.753185
  EX_ac_e : 0.209452
  EX_hxan_e : 0.000403
  DM_5drib_c : 0.000241
  DM_4crsol_c : 0.000080

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 (2023).
[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: 09-Jul-2025
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