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 : clpn160_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (5 of 113: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: STM1463 STM1749 STM2463 STM2285 STM3526 STM1290 STM4326 STM2947 STM3709 STM3068 STM2141 STM1620 STM3542 STM4485 STM0368 STM1448 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM3248 STM0519 STM1124 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.189775 (mmol/gDw/h)
  Minimum Production Rate : 0.037235 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.091350
  EX_pi_e : 0.242768
  EX_k_e : 0.033704
  EX_so4_e : 0.023149
  EX_mg2_e : 0.001498
  EX_fe2_e : 0.001391
  EX_ca2_e : 0.000899
  EX_cl_e : 0.000899
  EX_cu2_e : 0.000599
  EX_mn2_e : 0.000599
  EX_mobd_e : 0.000599
  EX_zn2_e : 0.000599
  EX_cobalt2_e : 0.000599

Product: (mmol/gDw/h)
  EX_h2o_e : 25.035664
  EX_co2_e : 19.617705
  EX_h_e : 1.543861
  EX_acald_e : 0.152059
  Auxiliary production reaction : 0.037235
  EX_glyclt_e : 0.009489
  DM_hmfurn_c : 0.000085

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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