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 : histd_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (45 of 75: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b3708 b3008 b0871 b2926 b0160 b1982 b2797 b3117 b1814 b4471 b3616 b3589 b4374 b0675 b2361 b2291 b0261 b0112 b0114 b1539 b2492 b0904 b1533 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.551212 (mmol/gDw/h)
  Minimum Production Rate : 1.328527 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 25.855002
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.938621
  EX_pi_e : 0.531702
  EX_so4_e : 0.138806
  EX_k_e : 0.107593
  EX_fe2_e : 0.008853
  EX_mg2_e : 0.004782
  EX_cl_e : 0.002869
  EX_ca2_e : 0.002869
  EX_cu2_e : 0.000391
  EX_mn2_e : 0.000381
  EX_zn2_e : 0.000188
  EX_ni2_e : 0.000178
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 48.704331
  EX_co2_e : 27.505718
  EX_h_e : 7.721808
  Auxiliary production reaction : 1.328527
  EX_acald_e : 0.948591
  DM_5drib_c : 0.000370
  DM_4crsol_c : 0.000123

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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