MetNetComp Database [1] / Minimal gene deletions Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : STM_v1_0 [2].
Target metabolite : 12dgr161_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: STM3646 STM4482 STM1749 STM2463 STM2285 STM3526 STM1290 STM3512 STM3541 STM4570 STM4326 STM1511 STM3068 STM2141 STM1135 STM0369 STM1448 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM1124   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.234168 (mmol/gDw/h)
  Minimum Production Rate : 0.048804 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.580566
  EX_pi_e : 0.207666
  EX_k_e : 0.041588
  EX_so4_e : 0.028564
  EX_mg2_e : 0.001849
  EX_fe2_e : 0.001716
  EX_ca2_e : 0.001109
  EX_cl_e : 0.001109
  EX_cobalt2_e : 0.000740
  EX_cu2_e : 0.000740
  EX_mn2_e : 0.000740
  EX_mobd_e : 0.000740
  EX_zn2_e : 0.000740

Product: (mmol/gDw/h)
  EX_h2o_e : 25.696695
  EX_co2_e : 19.094662
  EX_h_e : 2.054658
  EX_ac_e : 0.069469
  Auxiliary production reaction : 0.048804
  DM_hmfurn_c : 0.000104

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].

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: 27-Sep-2023
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