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 : dhna_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: STM3646 STM4483 STM1749 STM2463 STM0441 STM3680 STM1886 STM3866 STM1135 STM2167 STM3542 STM4485 STM0974 STM2472 STM0150 STM0568 STM1211 STM2317 STM0935 STM2338 STM2466 STM1937 STM0733 STM0007 STM2473 STM0054 STM3353   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.012445 (mmol/gDw/h)
  Minimum Production Rate : 0.008545 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.137144
  EX_o2_e : 0.029429
  EX_pi_e : 0.011034
  EX_k_e : 0.002210
  EX_so4_e : 0.001517
  EX_mg2_e : 0.000098
  EX_fe2_e : 0.000091
  EX_ca2_e : 0.000059
  EX_cl_e : 0.000059
  EX_cobalt2_e : 0.000039
  EX_cu2_e : 0.000039
  EX_mn2_e : 0.000039
  EX_mobd_e : 0.000039
  EX_zn2_e : 0.000039

Product: (mmol/gDw/h)
  EX_h_e : 9.904120
  EX_lac__D_e : 9.786375
  EX_h2o_e : 0.428935
  EX_co2_e : 0.036695
  EX_etoh_e : 0.010683
  Auxiliary production reaction : 0.008549
  EX_ac_e : 0.003691

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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