MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iML1515 [2].
Target metabolite : preq0_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (35 of 51: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3399 b4069 b2744 b3708 b0512 b3115 b1849 b2296 b2883 b1982 b2797 b3117 b1814 b4471 b2440 b0675 b2361 b0411 b4381 b0114 b0529 b1539 b2492 b0904 b1533 b3927 b1517   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.754637 (mmol/gDw/h)
  Minimum Production Rate : 0.300366 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 25.313118
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.732860
  EX_pi_e : 0.727927
  EX_so4_e : 0.190033
  EX_k_e : 0.147300
  EX_fe2_e : 0.012120
  EX_mg2_e : 0.006546
  EX_cl_e : 0.003928
  EX_ca2_e : 0.003928
  EX_cu2_e : 0.000535
  EX_mn2_e : 0.000521
  EX_zn2_e : 0.000257
  EX_ni2_e : 0.000244
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 49.635714
  EX_co2_e : 25.961671
  EX_h_e : 8.956089
  EX_ac_e : 0.439339
  Auxiliary production reaction : 0.300366
  EX_alltn_e : 0.020254
  DM_mththf_c : 0.000338
  DM_5drib_c : 0.000170
  DM_4crsol_c : 0.000168

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].
  3. Select "Data > Load reaction data" and apply the downloaded file.

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: 21-Sep-2023
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