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 : acetol_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (30 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b4467 b1478 b0474 b1241 b4069 b2297 b2458 b2926 b1004 b3713 b1109 b0046 b3236 b0907 b0477 b3945 b1602 b3915 b0529 b2492 b0904 b1380 b2660 b0606 b2285 b1007 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.505245 (mmol/gDw/h)
  Minimum Production Rate : 0.133645 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.055118
  EX_o2_e : 287.124705
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.456606
  EX_pi_e : 0.487363
  EX_so4_e : 0.127231
  EX_k_e : 0.098620
  EX_mg2_e : 0.004383
  EX_ca2_e : 0.002630
  EX_cl_e : 0.002630
  EX_cu2_e : 0.000358
  EX_mn2_e : 0.000349
  EX_zn2_e : 0.000172
  EX_ni2_e : 0.000163
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991885
  EX_h2o_e : 551.609721
  EX_co2_e : 38.271648
  EX_ac_e : 0.294147
  Auxiliary production reaction : 0.133645
  EX_dxylnt_e : 0.000225
  DM_5drib_c : 0.000114
  DM_4crsol_c : 0.000113

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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