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 : coa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (19 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b4384 b3708 b3008 b0871 b0030 b2407 b2797 b3117 b1814 b4471 b3665 b0261 b4381 b2406 b0452 b3654 b3714 b3664 b0114 b0886 b2366 b2492 b0904 b2578 b1533 b3927 b4141 b1798 b3662 b0221   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.770847 (mmol/gDw/h)
  Minimum Production Rate : 0.088900 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.759484
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.947378
  EX_pi_e : 1.010262
  EX_so4_e : 0.283014
  EX_k_e : 0.150464
  EX_fe2_e : 0.012381
  EX_mg2_e : 0.006687
  EX_ca2_e : 0.004012
  EX_cl_e : 0.004012
  EX_cu2_e : 0.000547
  EX_mn2_e : 0.000533
  EX_zn2_e : 0.000263
  EX_ni2_e : 0.000249
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.538413
  EX_co2_e : 26.493387
  EX_h_e : 7.349547
  Auxiliary production reaction : 0.088900
  DM_5drib_c : 0.000173
  DM_4crsol_c : 0.000172

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.

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Last updated: 21-Sep-2023
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