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 : 12ppd__S_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (11 of 92: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4467 b1478 b1241 b4069 b2297 b2458 b2926 b3844 b1004 b3713 b1109 b0046 b3236 b3945 b1602 b2913 b3915 b2975 b3603 b2492 b0904 b1380 b1518 b0606 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.499972 (mmol/gDw/h)
  Minimum Production Rate : 0.439279 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.106950
  EX_o2_e : 286.069093
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.399656
  EX_pi_e : 0.482276
  EX_so4_e : 0.125903
  EX_k_e : 0.097591
  EX_mg2_e : 0.004337
  EX_cl_e : 0.002602
  EX_ca2_e : 0.002602
  EX_cu2_e : 0.000354
  EX_mn2_e : 0.000345
  EX_zn2_e : 0.000170
  EX_ni2_e : 0.000161
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991970
  EX_h2o_e : 550.336917
  EX_co2_e : 37.577331
  EX_12ppd__S_e : 0.439279
  EX_ac_e : 0.291077
  DM_mththf_c : 0.000224
  DM_5drib_c : 0.000112
  DM_4crsol_c : 0.000111

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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