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 : forcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (45 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b3399 b4382 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b3708 b3008 b0871 b2925 b2097 b3617 b0160 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b0675 b2361 b0261 b4381 b2406 b0114 b1539 b2492 b0904 b1533   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.633937 (mmol/gDw/h)
  Minimum Production Rate : 0.070639 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 22.197621
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.929007
  EX_pi_e : 0.823416
  EX_so4_e : 0.801048
  EX_k_e : 0.123740
  EX_fe2_e : 0.010182
  EX_mg2_e : 0.005499
  EX_ca2_e : 0.003300
  EX_cl_e : 0.003300
  EX_cu2_e : 0.000449
  EX_mn2_e : 0.000438
  EX_zn2_e : 0.000216
  EX_ni2_e : 0.000205
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 45.226133
  EX_co2_e : 25.896695
  EX_h_e : 5.500606
  EX_acald_e : 1.819591
  EX_met__L_e : 0.570771
  Auxiliary production reaction : 0.070639
  DM_oxam_c : 0.017297
  DM_5drib_c : 0.000425
  DM_4crsol_c : 0.000141

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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