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 : adp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (48 of 89: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4069 b4384 b2744 b3708 b3752 b2297 b2458 b2926 b2407 b1982 b2797 b3117 b1814 b4471 b3665 b0411 b4381 b0452 b0114 b0529 b1539 b2492 b0904 b1533 b3927 b2835 b3662 b1518   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.660275 (mmol/gDw/h)
  Minimum Production Rate : 0.280030 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 28.618091
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.533286
  EX_pi_e : 1.196966
  EX_so4_e : 0.166270
  EX_k_e : 0.128881
  EX_fe2_e : 0.010605
  EX_mg2_e : 0.005728
  EX_ca2_e : 0.003437
  EX_cl_e : 0.003437
  EX_cu2_e : 0.000468
  EX_mn2_e : 0.000456
  EX_zn2_e : 0.000225
  EX_ni2_e : 0.000213
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 50.406814
  EX_co2_e : 29.325943
  EX_h_e : 7.573614
  EX_ac_e : 0.384403
  Auxiliary production reaction : 0.280030
  EX_ade_e : 0.000444
  DM_mththf_c : 0.000296
  DM_5drib_c : 0.000149
  DM_4crsol_c : 0.000147

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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