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 : pgp180_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 130: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM1290 STM0169 STM0861 STM4326 STM0840 STM0842 STM0517 STM3709 STM1135 STM4183 STM0368 STM1448 STM2403 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM3661 STM1124   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.215944 (mmol/gDw/h)
  Minimum Production Rate : 0.022912 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.379737
  EX_pi_e : 0.237328
  EX_k_e : 0.038352
  EX_so4_e : 0.026341
  EX_mg2_e : 0.001705
  EX_fe2_e : 0.001583
  EX_ca2_e : 0.001023
  EX_cl_e : 0.001023
  EX_cu2_e : 0.000682
  EX_mn2_e : 0.000682
  EX_mobd_e : 0.000682
  EX_zn2_e : 0.000682
  EX_cobalt2_e : 0.000682

Product: (mmol/gDw/h)
  EX_h2o_e : 25.188814
  EX_co2_e : 19.166858
  EX_h_e : 1.882643
  EX_acald_e : 0.683911
  EX_ac_e : 0.064062
  Auxiliary production reaction : 0.022912
  EX_glyclt_e : 0.010797
  DM_hmfurn_c : 0.000096

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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