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 : 5aizc_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b2836 b4382 b4384 b3708 b3008 b3752 b0871 b2407 b1982 b2797 b3117 b1814 b4471 b2440 b0261 b2406 b0114 b0886 b2366 b2492 b0904 b2578 b1533 b3927 b0515 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.768356 (mmol/gDw/h)
  Minimum Production Rate : 0.264485 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.968527
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.095138
  EX_pi_e : 1.005646
  EX_so4_e : 0.193487
  EX_k_e : 0.149978
  EX_fe2_e : 0.012341
  EX_mg2_e : 0.006665
  EX_ca2_e : 0.003999
  EX_cl_e : 0.003999
  EX_cu2_e : 0.000545
  EX_mn2_e : 0.000531
  EX_zn2_e : 0.000262
  EX_ni2_e : 0.000248
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.488929
  EX_co2_e : 26.076867
  EX_h_e : 8.121343
  Auxiliary production reaction : 0.264485
  EX_alltn_e : 0.000860
  DM_5drib_c : 0.000516
  DM_4crsol_c : 0.000171
  EX_etha_e : 0.000062

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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