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 : nadphx__R_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b3553 b3399 b4382 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b2744 b3752 b0871 b3617 b2883 b1982 b1033 b1623 b0261 b0411 b0507 b2913 b4381 b0112 b0114 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.468110 (mmol/gDw/h)
  Minimum Production Rate : 0.760857 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 20.942805
  EX_nh4_e : 10.382070
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.734112
  EX_so4_e : 0.117879
  EX_k_e : 0.091372
  EX_fe2_e : 0.007518
  EX_mg2_e : 0.004061
  EX_ca2_e : 0.002437
  EX_cl_e : 0.002437
  EX_cu2_e : 0.000332
  EX_mn2_e : 0.000323
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000151
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 48.571806
  EX_co2_e : 20.992130
  EX_h_e : 8.106827
  EX_acald_e : 1.906697
  Auxiliary production reaction : 0.760857
  DM_oxam_c : 0.000524
  DM_5drib_c : 0.000314
  EX_glyclt_e : 0.000313
  DM_4crsol_c : 0.000104

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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