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 : cdpdhdec9eg_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (40 of 49: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b4467 b2242 b2744 b3614 b0910 b2781 b1004 b3713 b1109 b0046 b3236 b1612 b1611 b4122 b1759 b4374 b0675 b2361 b2291 b1415 b4014 b2976 b4138 b4123 b0621 b2197 b3028 b3821 b3918 b4042 b1206 b2285 b3893 b1474   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.465474 (mmol/gDw/h)
  Minimum Production Rate : 0.245838 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.330434
  EX_o2_e : 274.222800
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.933099
  EX_pi_e : 0.940675
  EX_so4_e : 0.117216
  EX_k_e : 0.090857
  EX_mg2_e : 0.004038
  EX_cl_e : 0.002423
  EX_ca2_e : 0.002423
  EX_cu2_e : 0.000330
  EX_mn2_e : 0.000322
  EX_zn2_e : 0.000159
  EX_ni2_e : 0.000150
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992524
  EX_h2o_e : 544.189673
  EX_co2_e : 27.798980
  EX_succ_e : 0.485393
  Auxiliary production reaction : 0.245838
  EX_ura_e : 0.084252
  DM_5drib_c : 0.000105
  DM_4crsol_c : 0.000104

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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