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 : fgam_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (52 of 86: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b3708 b3752 b0512 b3115 b1849 b2296 b3617 b2407 b1982 b2797 b3117 b1814 b4471 b0261 b2406 b0112 b0114 b1539 b2492 b0904 b1533 b2835 b0494 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.529438 (mmol/gDw/h)
  Minimum Production Rate : 1.581329 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 20.441568
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.888807
  EX_pi_e : 2.092028
  EX_so4_e : 0.133323
  EX_k_e : 0.103343
  EX_fe2_e : 0.008503
  EX_mg2_e : 0.004593
  EX_ca2_e : 0.002756
  EX_cl_e : 0.002756
  EX_cu2_e : 0.000375
  EX_mn2_e : 0.000366
  EX_zn2_e : 0.000181
  EX_ni2_e : 0.000171
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 41.893456
  EX_co2_e : 19.986936
  EX_h_e : 10.837764
  EX_ac_e : 2.802154
  Auxiliary production reaction : 1.581329
  EX_alltn_e : 0.002067
  DM_5drib_c : 0.001830
  DM_4crsol_c : 0.001593

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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