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 : 2dhp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (104 of 109: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: b3553 b1478 b4269 b0493 b3588 b3003 b3011 b1241 b0871 b2925 b2097 b2926 b3844 b1004 b3713 b1109 b0046 b3236 b2690 b0207 b3012 b1033 b2799 b1602 b2492 b0904 b1781 b3001 b1380 b0325 b2660 b1771 b0606 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.401428 (mmol/gDw/h)
  Minimum Production Rate : 1.791264 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.513805
  EX_o2_e : 281.021725
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.335392
  EX_pi_e : 0.387220
  EX_so4_e : 0.101088
  EX_k_e : 0.078356
  EX_mg2_e : 0.003482
  EX_ca2_e : 0.002089
  EX_cl_e : 0.002089
  EX_cu2_e : 0.000285
  EX_mn2_e : 0.000277
  EX_zn2_e : 0.000137
  EX_ni2_e : 0.000130
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_fe3_e : 999.993553
  EX_h2o_e : 545.164278
  EX_co2_e : 32.775625
  Auxiliary production reaction : 1.791264
  DM_5drib_c : 0.000090
  DM_4crsol_c : 0.000090

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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