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 : nadp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (24 of 74: 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 b0030 b2407 b0907 b1982 b3616 b3589 b0261 b0411 b0507 b0112 b2975 b0114 b3603 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.471681 (mmol/gDw/h)
  Minimum Production Rate : 0.766662 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 21.027420
  EX_nh4_e : 10.461278
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.754972
  EX_so4_e : 0.118779
  EX_k_e : 0.092069
  EX_fe2_e : 0.007576
  EX_mg2_e : 0.004092
  EX_ca2_e : 0.002455
  EX_cl_e : 0.002455
  EX_cu2_e : 0.000334
  EX_mn2_e : 0.000326
  EX_zn2_e : 0.000161
  EX_ni2_e : 0.000152
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 50.017309
  EX_co2_e : 20.693895
  EX_h_e : 7.401909
  EX_acald_e : 1.921349
  Auxiliary production reaction : 0.766662
  DM_oxam_c : 0.000528
  DM_5drib_c : 0.000316
  EX_dxylnt_e : 0.000210
  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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