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 : ocdca_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (32 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM0169 STM0861 STM4326 STM2952 STM2947 STM3709 STM3068 STM2141 STM1135 STM4183 STM0491 STM0369 STM0974 STM1448 STM4484 STM0542 STM2317 STM3179 STM1480 STM4126 STM0977 STM1933 STM1124 STM3063 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 : 0.081793 (mmol/gDw/h)
  Minimum Production Rate : 0.157687 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 12.179155
  EX_glc__D_e : 5.000000
  EX_nh4_e : 1.089879
  EX_pi_e : 0.261055
  EX_k_e : 0.014526
  EX_so4_e : 0.009977
  EX_mg2_e : 0.000646
  EX_fe2_e : 0.000599
  EX_ca2_e : 0.000387
  EX_cl_e : 0.000387
  EX_cobalt2_e : 0.000258
  EX_cu2_e : 0.000258
  EX_mn2_e : 0.000258
  EX_mobd_e : 0.000258
  EX_zn2_e : 0.000258

Product: (mmol/gDw/h)
  EX_h2o_e : 19.014376
  EX_co2_e : 15.534130
  EX_h_e : 1.228131
  EX_acald_e : 0.272832
  Auxiliary production reaction : 0.157689
  EX_kdo2lipid4_e : 0.094260
  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.

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Last updated: 27-Sep-2023
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