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 : 12dgr120_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (52 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM0322 STM4326 STM2952 STM2947 STM3709 STM3068 STM2141 STM1135 STM4183 STM0491 STM0369 STM0974 STM1448 STM4484 STM2317 STM3179 STM1480 STM4126 STM4578 STM2338 STM2466 STM4467 STM3802 STM2196 STM3240 STM0007 STM2473 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.269305 (mmol/gDw/h)
  Minimum Production Rate : 0.022031 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.112593
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.967775
  EX_pi_e : 0.238826
  EX_k_e : 0.047829
  EX_so4_e : 0.032850
  EX_mg2_e : 0.002126
  EX_fe2_e : 0.001974
  EX_ca2_e : 0.001276
  EX_cl_e : 0.001276
  EX_cobalt2_e : 0.000850
  EX_cu2_e : 0.000850
  EX_mn2_e : 0.000850
  EX_mobd_e : 0.000850
  EX_zn2_e : 0.000850

Product: (mmol/gDw/h)
  EX_h2o_e : 25.059926
  EX_co2_e : 17.613620
  EX_h_e : 2.283064
  EX_acald_e : 0.687059
  Auxiliary production reaction : 0.022031
  DM_hmfurn_c : 0.000120

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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