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 : lipa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (46 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: STM3646 STM2927 STM1749 STM2463 STM2285 STM3526 STM4326 STM1511 STM1884 STM2952 STM2947 STM3709 STM1135 STM0370 STM1448 STM1326 STM4062 STM2403 STM3062 STM4184 STM4484 STM2317 STM3179 STM4569 STM1480 STM4126 STM3661 STM1933 STM1124 STM3063 STM4467 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.024106 (mmol/gDw/h)
  Minimum Production Rate : 0.027765 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 9.664423
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.321212
  EX_pi_e : 0.076939
  EX_k_e : 0.004281
  EX_so4_e : 0.002941
  EX_mg2_e : 0.000190
  EX_fe2_e : 0.000177
  EX_ca2_e : 0.000114
  EX_cl_e : 0.000114
  EX_cobalt2_e : 0.000076
  EX_cu2_e : 0.000076
  EX_mn2_e : 0.000076
  EX_mobd_e : 0.000076
  EX_zn2_e : 0.000076

Product: (mmol/gDw/h)
  EX_h2o_e : 11.791126
  EX_co2_e : 10.709855
  EX_dha_e : 4.883185
  EX_acald_e : 0.326111
  EX_h_e : 0.315484
  Auxiliary production reaction : 0.027781
  DM_hmfurn_c : 0.000011

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.

Last updated: 27-Sep-2023
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