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 : 1tdecg3p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (59 of 125: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: STM3646 STM0158 STM4108 STM2285 STM3526 STM4567 STM4326 STM1884 STM2952 STM0321 STM2947 STM3709 STM3529 STM1135 STM4183 STM1448 STM4484 STM2317 STM3179 STM1480 STM4126 STM0977 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 : 0.253686 (mmol/gDw/h)
  Minimum Production Rate : 0.020689 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.795654
  EX_pi_e : 0.245664
  EX_k_e : 0.045055
  EX_so4_e : 0.030945
  EX_mg2_e : 0.002003
  EX_fe2_e : 0.001859
  EX_ca2_e : 0.001202
  EX_cl_e : 0.001202
  EX_cu2_e : 0.000801
  EX_mn2_e : 0.000801
  EX_mobd_e : 0.000801
  EX_zn2_e : 0.000801
  EX_cobalt2_e : 0.000801

Product: (mmol/gDw/h)
  EX_h2o_e : 25.576143
  EX_co2_e : 18.561762
  EX_h_e : 2.783856
  EX_ac_e : 0.626860
  Auxiliary production reaction : 0.020689
  EX_glyc__R_e : 0.006342
  EX_glyald_e : 0.000176
  DM_hmfurn_c : 0.000113

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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