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 : sbzcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (12 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: b2836 b3553 b0586 b4384 b3708 b3008 b3752 b0871 b2407 b1238 b0120 b1982 b2797 b3117 b1814 b4471 b1033 b0261 b0507 b3709 b4381 b2406 b3161 b0112 b0114 b0886 b2366 b2492 b0904 b2578 b1533 b3927 b1473 b4141 b1798 b3662 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.558786 (mmol/gDw/h)
  Minimum Production Rate : 0.076930 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 33.330474
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.573978
  EX_pi_e : 0.769798
  EX_so4_e : 0.217643
  EX_k_e : 0.109071
  EX_mg2_e : 0.004847
  EX_fe2_e : 0.004612
  EX_fe3_e : 0.004363
  EX_ca2_e : 0.002908
  EX_cl_e : 0.002908
  EX_cu2_e : 0.000396
  EX_mn2_e : 0.000386
  EX_zn2_e : 0.000191
  EX_ni2_e : 0.000180
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 51.355385
  EX_co2_e : 34.600143
  EX_h_e : 5.447684
  Auxiliary production reaction : 0.076930
  DM_oxam_c : 0.000625
  DM_5drib_c : 0.000375
  DM_4crsol_c : 0.000125

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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