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 : gdpofuc_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (46 of 71: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b3399 b4382 b2502 b4384 b2744 b3708 b3008 b0871 b2407 b1779 b0121 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b0261 b0114 b0886 b0529 b1539 b2492 b0904 b2578 b1533 b3927 b3821 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.682087 (mmol/gDw/h)
  Minimum Production Rate : 0.156563 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 28.510859
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.149303
  EX_pi_e : 0.971072
  EX_so4_e : 0.171763
  EX_k_e : 0.133139
  EX_fe2_e : 0.010955
  EX_mg2_e : 0.005917
  EX_ca2_e : 0.003550
  EX_cl_e : 0.003550
  EX_cu2_e : 0.000484
  EX_mn2_e : 0.000471
  EX_zn2_e : 0.000233
  EX_ni2_e : 0.000220
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 49.857403
  EX_co2_e : 29.496911
  EX_h_e : 6.736981
  Auxiliary production reaction : 0.156563
  DM_5drib_c : 0.000458
  DM_4crsol_c : 0.000152

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.

Last updated: 21-Sep-2023
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