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 : fprica_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (56 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3399 b2744 b3708 b3008 b0871 b2779 b0160 b1982 b2797 b3117 b1814 b4471 b3449 b4374 b0675 b2361 b2291 b0261 b0114 b0529 b1539 b2492 b0904 b1533 b3927 b0494 b3447   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.694779 (mmol/gDw/h)
  Minimum Production Rate : 0.159476 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 28.802070
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.141458
  EX_pi_e : 0.829664
  EX_so4_e : 0.174959
  EX_k_e : 0.135616
  EX_fe2_e : 0.011159
  EX_mg2_e : 0.006027
  EX_ca2_e : 0.003616
  EX_cl_e : 0.003616
  EX_cu2_e : 0.000493
  EX_mn2_e : 0.000480
  EX_zn2_e : 0.000237
  EX_ni2_e : 0.000224
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 49.828159
  EX_co2_e : 29.886206
  EX_h_e : 7.021811
  Auxiliary production reaction : 0.159476
  DM_5drib_c : 0.000466
  DM_4crsol_c : 0.000155

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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