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 : aicar_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (45 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b2836 b3399 b4069 b2744 b3708 b3008 b3115 b1849 b2296 b2779 b0160 b1238 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b0261 b4381 b0114 b0529 b1539 b2492 b0904 b1533 b3927 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.465515 (mmol/gDw/h)
  Minimum Production Rate : 0.295730 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.260205
  EX_o2_e : 287.283904
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.210966
  EX_pi_e : 0.744769
  EX_so4_e : 0.117226
  EX_k_e : 0.090865
  EX_mg2_e : 0.004038
  EX_ca2_e : 0.002423
  EX_cl_e : 0.002423
  EX_cu2_e : 0.000330
  EX_mn2_e : 0.000322
  EX_zn2_e : 0.000159
  EX_ni2_e : 0.000150
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992523
  EX_h2o_e : 552.638900
  EX_co2_e : 37.687055
  Auxiliary production reaction : 0.295730
  EX_ac_e : 0.271016
  DM_oxam_c : 0.000521
  DM_5drib_c : 0.000312
  DM_4crsol_c : 0.000104

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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