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 : nadhx__S_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (29 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4382 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b2744 b0871 b3617 b2407 b0261 b0411 b4388 b0112 b3654 b2868 b3714 b3664 b4064 b4464 b0114 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.470259 (mmol/gDw/h)
  Minimum Production Rate : 0.764877 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 20.755617
  EX_nh4_e : 10.432899
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.983369
  EX_so4_e : 0.118421
  EX_k_e : 0.091791
  EX_fe2_e : 0.007553
  EX_mg2_e : 0.004080
  EX_cl_e : 0.002448
  EX_ca2_e : 0.002448
  EX_cu2_e : 0.000333
  EX_mn2_e : 0.000325
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000152
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 47.755605
  EX_co2_e : 20.804695
  EX_h_e : 8.145315
  EX_acald_e : 1.915452
  Auxiliary production reaction : 0.764877
  DM_5drib_c : 0.000106
  DM_4crsol_c : 0.000105

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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