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 : sbt6p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: b4467 b3399 b1241 b0351 b2744 b0871 b2779 b2925 b2097 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b3946 b2210 b0825 b4015 b2799 b3945 b1602 b4381 b1727 b0529 b2492 b0904 b3927 b1380 b2660 b1511 b0606 b2285 b1011   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.376875 (mmol/gDw/h)
  Minimum Production Rate : 0.014387 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 29.968674
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.120794
  EX_pi_e : 0.377923
  EX_so4_e : 0.094905
  EX_k_e : 0.073563
  EX_fe2_e : 0.006053
  EX_mg2_e : 0.003269
  EX_ca2_e : 0.001962
  EX_cl_e : 0.001962
  EX_cu2_e : 0.000267
  EX_mn2_e : 0.000260
  EX_zn2_e : 0.000129
  EX_ni2_e : 0.000122

Product: (mmol/gDw/h)
  EX_h2o_e : 42.976427
  EX_co2_e : 29.519090
  EX_h_e : 7.849872
  EX_pyr_e : 4.336419
  EX_etoh_e : 0.932460
  Auxiliary production reaction : 0.014387
  EX_ade_e : 0.010115
  DM_mththf_c : 0.000169
  DM_5drib_c : 0.000085
  DM_4crsol_c : 0.000084

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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