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 (49 of 128: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: STM3646 STM1749 STM2463 STM0255 STM3165 STM1288 STM2285 STM3526 STM0322 STM4570 STM4326 STM1511 STM1884 STM0840 STM0842 STM0517 STM2947 STM1135 STM4183 STM0974 STM1448 STM3069 STM4484 STM2317 STM3179 STM1480 STM4126 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.227811 (mmol/gDw/h)
  Minimum Production Rate : 0.025836 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.510506
  EX_pi_e : 0.227864
  EX_k_e : 0.040459
  EX_so4_e : 0.027789
  EX_mg2_e : 0.001799
  EX_fe2_e : 0.001670
  EX_cl_e : 0.001079
  EX_ca2_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 : 25.325754
  EX_co2_e : 18.993727
  EX_h_e : 2.098285
  EX_acald_e : 0.581198
  EX_ac_e : 0.155601
  Auxiliary production reaction : 0.025836
  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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