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 : ps141_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (70 of 71: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: b2836 b2242 b3553 b2744 b1278 b3614 b0910 b2781 b1004 b3713 b1109 b0046 b3236 b1612 b1611 b4122 b1759 b1033 b4374 b0675 b1415 b4014 b2976 b4138 b4123 b0621 b4381 b2406 b2492 b0904 b2197 b3028 b3918 b1206 b0221 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.470510 (mmol/gDw/h)
  Minimum Production Rate : 0.248497 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.020601
  EX_o2_e : 275.947977
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.997286
  EX_pi_e : 0.702354
  EX_so4_e : 0.118484
  EX_k_e : 0.091840
  EX_mg2_e : 0.004082
  EX_ca2_e : 0.002449
  EX_cl_e : 0.002449
  EX_cu2_e : 0.000334
  EX_mn2_e : 0.000325
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000152
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992443
  EX_h2o_e : 545.012621
  EX_co2_e : 28.941602
  EX_succ_e : 0.490644
  EX_ura_e : 0.333661
  Auxiliary production reaction : 0.248497
  DM_5drib_c : 0.000106
  DM_4crsol_c : 0.000105

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.

Last updated: 09-Jul-2025
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