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 : gdpddman_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (63 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b4384 b2744 b3708 b3008 b2930 b4232 b3697 b3925 b0871 b0030 b2407 b1779 b2797 b3117 b1814 b4471 b3946 b0825 b2440 b3665 b4374 b2361 b2291 b0411 b3654 b3714 b3664 b0114 b0886 b0529 b1539 b2492 b0904 b3035 b2578 b1533 b3927 b0494 b3662 b1517   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.619431 (mmol/gDw/h)
  Minimum Production Rate : 0.142967 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 26.401209
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.404635
  EX_pi_e : 0.883441
  EX_so4_e : 0.155985
  EX_k_e : 0.120909
  EX_fe2_e : 0.009949
  EX_mg2_e : 0.005374
  EX_ca2_e : 0.003224
  EX_cl_e : 0.003224
  EX_cu2_e : 0.000439
  EX_mn2_e : 0.000428
  EX_zn2_e : 0.000211
  EX_ni2_e : 0.000200
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_h2o_e : 46.794579
  EX_co2_e : 26.295753
  EX_h_e : 8.117344
  EX_pyr_e : 1.996866
  Auxiliary production reaction : 0.142967
  DM_mththf_c : 0.000278
  DM_5drib_c : 0.000139
  DM_4crsol_c : 0.000138

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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