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 : fprica_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (47 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0871 b2883 b3616 b3589 b4381 b3654 b2868 b3714 b3664 b4064 b4464 b0114 b0529 b2492 b0904 b3662 b1518   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.607030 (mmol/gDw/h)
  Minimum Production Rate : 0.971178 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.446445
  EX_o2_e : 272.575995
  EX_nh4_e : 10.522044
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.556723
  EX_so4_e : 0.152862
  EX_k_e : 0.118488
  EX_mg2_e : 0.005266
  EX_cl_e : 0.003160
  EX_ca2_e : 0.003160
  EX_cu2_e : 0.000430
  EX_mn2_e : 0.000419
  EX_zn2_e : 0.000207
  EX_ni2_e : 0.000196
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990250
  EX_h2o_e : 548.081867
  EX_co2_e : 22.165767
  EX_acald_e : 1.521191
  Auxiliary production reaction : 0.971178
  EX_adn_e : 0.016292
  DM_mththf_c : 0.000272
  DM_5drib_c : 0.000137
  DM_4crsol_c : 0.000135

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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