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 : 4c2me_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (92 of 96: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: b2836 b2242 b3553 b3831 b3614 b0910 b2781 b0030 b1004 b3713 b1109 b0046 b3236 b1612 b1611 b4122 b0651 b2162 b1779 b1759 b1033 b1415 b4014 b2976 b4138 b4123 b0621 b4381 b2406 b3028 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 : 0.457893 (mmol/gDw/h)
  Minimum Production Rate : 0.241797 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 35.085688
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.836430
  EX_pi_e : 0.925280
  EX_so4_e : 0.115307
  EX_k_e : 0.089378
  EX_fe2_e : 0.007354
  EX_mg2_e : 0.003972
  EX_ca2_e : 0.002383
  EX_cl_e : 0.002383
  EX_cu2_e : 0.000325
  EX_mn2_e : 0.000316
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 50.738755
  EX_co2_e : 35.578824
  EX_h_e : 5.569908
  EX_succ_e : 0.477487
  Auxiliary production reaction : 0.241797
  EX_ura_e : 0.082917
  DM_5drib_c : 0.000103
  DM_4crsol_c : 0.000102

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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