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 (73 of 125: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: STM3646 STM2927 STM1749 STM2463 STM2285 STM3526 STM0169 STM0861 STM4326 STM1511 STM1135 STM0368 STM1326 STM4062 STM4408 STM1291 STM3069 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM2332 STM1124 STM0402 STM0608 STM1341   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.234408 (mmol/gDw/h)
  Minimum Production Rate : 0.100327 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.583202
  EX_pi_e : 0.308205
  EX_k_e : 0.041631
  EX_so4_e : 0.028593
  EX_mg2_e : 0.001851
  EX_fe2_e : 0.001718
  EX_ca2_e : 0.001110
  EX_cl_e : 0.001110
  EX_cu2_e : 0.000740
  EX_mn2_e : 0.000740
  EX_mobd_e : 0.000740
  EX_zn2_e : 0.000740
  EX_cobalt2_e : 0.000740

Product: (mmol/gDw/h)
  EX_h2o_e : 25.650405
  EX_co2_e : 19.087862
  EX_h_e : 2.056757
  Auxiliary production reaction : 0.100327
  EX_ac_e : 0.069540
  DM_hmfurn_c : 0.000105

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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