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 : aacoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 43
  Gene deletion: b3553 b3399 b0586 b4384 b2744 b3708 b3008 b0871 b0030 b1238 b2883 b1982 b2797 b3117 b1814 b4471 b1033 b1623 b0261 b0411 b2342 b3845 b3709 b4381 b2406 b3161 b0112 b0452 b0114 b0886 b0509 b3125 b2366 b2492 b0904 b2578 b1533 b3927 b1473 b1600 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.747175 (mmol/gDw/h)
  Minimum Production Rate : 0.128627 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.390856
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.970653
  EX_pi_e : 1.106611
  EX_so4_e : 0.316781
  EX_k_e : 0.145843
  EX_fe2_e : 0.012000
  EX_mg2_e : 0.006482
  EX_ca2_e : 0.003889
  EX_cl_e : 0.003889
  EX_cu2_e : 0.000530
  EX_mn2_e : 0.000516
  EX_zn2_e : 0.000255
  EX_ni2_e : 0.000241
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.546551
  EX_co2_e : 26.112882
  EX_h_e : 7.252895
  Auxiliary production reaction : 0.128627
  DM_oxam_c : 0.000836
  DM_5drib_c : 0.000501
  DM_4crsol_c : 0.000167

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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