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 (21 of 37: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b4069 b4384 b2744 b3708 b3752 b3115 b1849 b2296 b2407 b1779 b1982 b2797 b3117 b1814 b4471 b3449 b0261 b0411 b4381 b0452 b0114 b0529 b1539 b2492 b0904 b1533 b3927   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.662517 (mmol/gDw/h)
  Minimum Production Rate : 0.280587 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.393827
  EX_o2_e : 278.512768
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.277482
  EX_pi_e : 0.639068
  EX_so4_e : 0.166835
  EX_k_e : 0.129319
  EX_mg2_e : 0.005747
  EX_ca2_e : 0.003448
  EX_cl_e : 0.003448
  EX_cu2_e : 0.000470
  EX_mn2_e : 0.000458
  EX_zn2_e : 0.000226
  EX_ni2_e : 0.000214
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_fe3_e : 999.989359
  EX_h2o_e : 549.523741
  EX_co2_e : 29.227934
  EX_ac_e : 0.385708
  Auxiliary production reaction : 0.280587
  DM_5drib_c : 0.000445
  DM_4crsol_c : 0.000148

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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