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 : pa120_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 128: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: STM1749 STM2463 STM2285 STM3526 STM0322 STM0169 STM0861 STM4326 STM1511 STM0840 STM0842 STM2947 STM1620 STM0974 STM1448 STM3069 STM4184 STM4484 STM2317 STM3179 STM4569 STM1480 STM4126 STM3248 STM0519 STM2041 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.227821 (mmol/gDw/h)
  Minimum Production Rate : 0.025714 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.510613
  EX_pi_e : 0.227750
  EX_k_e : 0.040461
  EX_so4_e : 0.027790
  EX_mg2_e : 0.001799
  EX_fe2_e : 0.001670
  EX_ca2_e : 0.001079
  EX_cl_e : 0.001079
  EX_cobalt2_e : 0.000719
  EX_cu2_e : 0.000719
  EX_mn2_e : 0.000719
  EX_mobd_e : 0.000719
  EX_zn2_e : 0.000719

Product: (mmol/gDw/h)
  EX_h2o_e : 25.324506
  EX_co2_e : 18.992455
  EX_h_e : 2.100438
  EX_acald_e : 0.581223
  EX_ac_e : 0.157671
  Auxiliary production reaction : 0.025714
  EX_glyclt_e : 0.011391
  DM_hmfurn_c : 0.000102

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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