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 : 12dgr140_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (56 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM0322 STM1290 STM4326 STM1884 STM2947 STM3709 STM1135 STM0491 STM0370 STM1448 STM1326 STM4062 STM4184 STM4484 STM2317 STM3179 STM4569 STM1480 STM4126 STM2338 STM2466 STM4467 STM3802 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.070688 (mmol/gDw/h)
  Minimum Production Rate : 0.066182 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 37.327611
  EX_h_e : 36.727830
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.778988
  EX_pi_e : 0.062687
  EX_k_e : 0.012554
  EX_so4_e : 0.008623
  EX_mg2_e : 0.000558
  EX_ca2_e : 0.000335
  EX_cl_e : 0.000335
  EX_cobalt2_e : 0.000223
  EX_cu2_e : 0.000223
  EX_mn2_e : 0.000223
  EX_mobd_e : 0.000223
  EX_zn2_e : 0.000223

Product: (mmol/gDw/h)
  EX_fe3_e : 37.327093
  EX_h2o_e : 30.744757
  EX_co2_e : 10.066291
  EX_dha_e : 4.929001
  EX_acald_e : 0.180341
  Auxiliary production reaction : 0.066182
  DM_hmfurn_c : 0.000032

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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