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 : lald__D_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (47 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b4467 b1478 b4269 b0493 b3588 b3003 b3011 b0474 b2518 b1241 b0351 b0871 b2779 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b0261 b1602 b0529 b2492 b0904 b1380 b2660 b1771 b0606 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.475423 (mmol/gDw/h)
  Minimum Production Rate : 1.592342 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.623991
  EX_o2_e : 283.896416
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.134525
  EX_pi_e : 0.458596
  EX_so4_e : 0.119721
  EX_k_e : 0.092799
  EX_mg2_e : 0.004124
  EX_ca2_e : 0.002475
  EX_cl_e : 0.002475
  EX_cu2_e : 0.000337
  EX_mn2_e : 0.000329
  EX_zn2_e : 0.000162
  EX_ni2_e : 0.000154
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992364
  EX_h2o_e : 548.259838
  EX_co2_e : 35.709057
  Auxiliary production reaction : 1.592342
  DM_5drib_c : 0.000107
  DM_4crsol_c : 0.000106

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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