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 : ins_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (19 of 37: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b4384 b2744 b3708 b3008 b3752 b0871 b2779 b2407 b1982 b2797 b3117 b1814 b4471 b0411 b4381 b0114 b2366 b0529 b2492 b0904 b1533 b3927 b0515 b1518 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.494883 (mmol/gDw/h)
  Minimum Production Rate : 0.112265 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 37.778337
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.801415
  EX_pi_e : 0.477367
  EX_so4_e : 0.124622
  EX_k_e : 0.096598
  EX_fe2_e : 0.007950
  EX_mg2_e : 0.004293
  EX_ca2_e : 0.002576
  EX_cl_e : 0.002576
  EX_cu2_e : 0.000351
  EX_mn2_e : 0.000342
  EX_zn2_e : 0.000169
  EX_ni2_e : 0.000160
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 52.752510
  EX_co2_e : 38.548013
  EX_h_e : 5.003903
  Auxiliary production reaction : 0.112248
  EX_alltn_e : 0.001932
  DM_mththf_c : 0.001821
  DM_5drib_c : 0.000111
  DM_4crsol_c : 0.000110

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.

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Last updated: 21-Sep-2023
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