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 : xtp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (60 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b3399 b0474 b2518 b1241 b0351 b4069 b2744 b3708 b2297 b2458 b2926 b3617 b0160 b1982 b2797 b3117 b1814 b4471 b4374 b0675 b2361 b0261 b4381 b2406 b0112 b0114 b2366 b2492 b0904 b1533   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.533954 (mmol/gDw/h)
  Minimum Production Rate : 0.743587 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 27.432424
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.906359
  EX_pi_e : 2.745817
  EX_so4_e : 0.134460
  EX_k_e : 0.104224
  EX_fe2_e : 0.008576
  EX_mg2_e : 0.004632
  EX_ca2_e : 0.002779
  EX_cl_e : 0.002779
  EX_cu2_e : 0.000379
  EX_mn2_e : 0.000369
  EX_zn2_e : 0.000182
  EX_ni2_e : 0.000172
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 50.438839
  EX_co2_e : 26.258574
  EX_h_e : 8.546020
  EX_ac_e : 1.987311
  Auxiliary production reaction : 0.743587
  EX_thym_e : 0.082676
  DM_5drib_c : 0.000358
  DM_4crsol_c : 0.000119

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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