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 : 4ppan_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (35 of 88: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b2836 b4382 b4069 b4384 b3708 b3008 b3752 b0871 b2297 b2458 b2925 b2097 b2407 b2797 b3117 b1814 b4471 b3946 b0825 b0595 b3665 b0261 b2406 b3654 b3714 b3664 b0114 b2366 b2492 b0904 b2578 b1533 b3927 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.721761 (mmol/gDw/h)
  Minimum Production Rate : 0.051478 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.007688
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.714412
  EX_pi_e : 0.747693
  EX_so4_e : 0.615743
  EX_k_e : 0.140883
  EX_fe2_e : 0.011592
  EX_mg2_e : 0.006261
  EX_ca2_e : 0.003757
  EX_cl_e : 0.003757
  EX_cu2_e : 0.000512
  EX_mn2_e : 0.000499
  EX_zn2_e : 0.000246
  EX_ni2_e : 0.000233
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_h2o_e : 46.983506
  EX_co2_e : 26.033408
  EX_h_e : 7.588971
  EX_ac_e : 0.854188
  EX_cgly_e : 0.433989
  Auxiliary production reaction : 0.051478
  DM_5drib_c : 0.000162
  DM_4crsol_c : 0.000161

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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