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 (37 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3553 b1241 b0351 b4069 b4384 b3752 b2297 b2458 b2779 b2407 b1779 b1982 b3616 b3589 b1033 b0261 b4388 b4381 b2406 b0112 b2789 b3127 b0114 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.400928 (mmol/gDw/h)
  Minimum Production Rate : 0.768368 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.505386
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.709014
  EX_pi_e : 2.691842
  EX_so4_e : 0.100962
  EX_k_e : 0.078258
  EX_fe2_e : 0.006439
  EX_mg2_e : 0.003478
  EX_cl_e : 0.002087
  EX_ca2_e : 0.002087
  EX_cu2_e : 0.000284
  EX_mn2_e : 0.000277
  EX_zn2_e : 0.000137
  EX_ni2_e : 0.000129
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 49.394998
  EX_co2_e : 23.439337
  EX_h_e : 9.510068
  EX_ac_e : 1.983175
  Auxiliary production reaction : 0.768368
  DM_oxam_c : 0.000449
  DM_5drib_c : 0.000269
  EX_glyclt_e : 0.000268
  DM_4crsol_c : 0.000089

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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