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 : ttdcea_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (95 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: STM3646 STM0158 STM1749 STM2463 STM2285 STM3526 STM0169 STM0861 STM4326 STM2952 STM0321 STM2947 STM1135 STM4183 STM0491 STM3597 STM0974 STM1326 STM4062 STM4408 STM3062 STM1291 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM1933 STM3063 STM4467 STM3802 STM2196 STM3240 STM0402 STM0608 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.079622 (mmol/gDw/h)
  Minimum Production Rate : 0.067367 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 12.091570
  EX_glc__D_e : 5.000000
  EX_nh4_e : 1.060961
  EX_pi_e : 0.254128
  EX_k_e : 0.014141
  EX_so4_e : 0.009712
  EX_mg2_e : 0.000629
  EX_fe2_e : 0.000582
  EX_ca2_e : 0.000377
  EX_cl_e : 0.000377
  EX_cobalt2_e : 0.000251
  EX_cu2_e : 0.000251
  EX_mn2_e : 0.000251
  EX_mobd_e : 0.000251
  EX_zn2_e : 0.000251

Product: (mmol/gDw/h)
  EX_h2o_e : 19.116570
  EX_co2_e : 15.477833
  EX_h_e : 1.109355
  EX_acald_e : 0.203133
  EX_lipa_e : 0.091759
  Auxiliary production reaction : 0.067313
  DM_hmfurn_c : 0.000036

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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