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 (46 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b4467 b1241 b0351 b0871 b2925 b2097 b1004 b3713 b1109 b0046 b3236 b1638 b1779 b2690 b0477 b4139 b1493 b3517 b4015 b1602 b2913 b1727 b1297 b2492 b0904 b3029 b1380 b1771 b0221 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.447425 (mmol/gDw/h)
  Minimum Production Rate : 1.760167 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 34.515767
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.832150
  EX_pi_e : 0.431589
  EX_so4_e : 0.112671
  EX_k_e : 0.087334
  EX_mg2_e : 0.003881
  EX_fe2_e : 0.003693
  EX_fe3_e : 0.003493
  EX_ca2_e : 0.002329
  EX_cl_e : 0.002329
  EX_cu2_e : 0.000317
  EX_mn2_e : 0.000309
  EX_zn2_e : 0.000153
  EX_ni2_e : 0.000145
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 48.165504
  EX_co2_e : 36.351999
  EX_h_e : 4.114611
  Auxiliary production reaction : 1.761090
  DM_5drib_c : 0.000101
  DM_4crsol_c : 0.000100

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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