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 : 12dgr120_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (15 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: STM3646 STM0158 STM2285 STM3526 STM4570 STM4326 STM1885 STM2952 STM0321 STM3709 STM1135 STM4183 STM1448 STM1326 STM4062 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM0977 STM0007 STM2473 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.254143 (mmol/gDw/h)
  Minimum Production Rate : 0.038438 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.800694
  EX_pi_e : 0.225380
  EX_k_e : 0.045136
  EX_so4_e : 0.031001
  EX_mg2_e : 0.002006
  EX_fe2_e : 0.001863
  EX_ca2_e : 0.001204
  EX_cl_e : 0.001204
  EX_cu2_e : 0.000803
  EX_mn2_e : 0.000803
  EX_mobd_e : 0.000803
  EX_zn2_e : 0.000803
  EX_cobalt2_e : 0.000803

Product: (mmol/gDw/h)
  EX_h2o_e : 25.875494
  EX_co2_e : 18.830756
  EX_h_e : 2.301586
  EX_ac_e : 0.140702
  Auxiliary production reaction : 0.038438
  EX_glyc__R_e : 0.006354
  DM_hmfurn_c : 0.000113

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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