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 : kdolipid4_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (66 of 75: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b1054 b3831 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4138 b4123 b0621 b4381 b2406 b2197 b2835 b3918 b0789 b1249 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.458705 (mmol/gDw/h)
  Minimum Production Rate : 0.242263 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 14.085407
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.089075
  EX_pi_e : 0.926994
  EX_so4_e : 0.115511
  EX_k_e : 0.089536
  EX_fe2_e : 0.007367
  EX_mg2_e : 0.003979
  EX_cl_e : 0.002388
  EX_ca2_e : 0.002388
  EX_cu2_e : 0.000325
  EX_mn2_e : 0.000317
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 36.428626
  EX_co2_e : 19.545836
  EX_h_e : 6.548795
  EX_succ_e : 0.478334
  EX_ura_e : 0.325289
  Auxiliary production reaction : 0.242263
  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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