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 : glyclt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4467 b0474 b2518 b1241 b0351 b0871 b2925 b2097 b2926 b1004 b3713 b1109 b0046 b3236 b3946 b0825 b3945 b1602 b2913 b1727 b2975 b3603 b2492 b0904 b1380 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.483596 (mmol/gDw/h)
  Minimum Production Rate : 0.623193 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.925563
  EX_o2_e : 288.181850
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.222801
  EX_pi_e : 0.466480
  EX_so4_e : 0.121779
  EX_k_e : 0.094395
  EX_mg2_e : 0.004195
  EX_ca2_e : 0.002517
  EX_cl_e : 0.002517
  EX_cu2_e : 0.000343
  EX_mn2_e : 0.000334
  EX_zn2_e : 0.000165
  EX_ni2_e : 0.000156
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992233
  EX_h2o_e : 551.670763
  EX_co2_e : 38.904200
  Auxiliary production reaction : 0.623193
  DM_5drib_c : 0.000109
  DM_4crsol_c : 0.000108

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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