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 : dcyt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (30 of 41: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 39
  Gene deletion: b3553 b4382 b4384 b3708 b3008 b0871 b0030 b2407 b3236 b0120 b1982 b2797 b3117 b1814 b4471 b3449 b1033 b0261 b3709 b2239 b2406 b3161 b0112 b0452 b0114 b0886 b0509 b3125 b2366 b2492 b0904 b0591 b2578 b1533 b3927 b1473 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.735773 (mmol/gDw/h)
  Minimum Production Rate : 0.386897 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.773056
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.167684
  EX_pi_e : 0.769612
  EX_so4_e : 0.185282
  EX_k_e : 0.143618
  EX_fe2_e : 0.011817
  EX_mg2_e : 0.006383
  EX_ca2_e : 0.003830
  EX_cl_e : 0.003830
  EX_cu2_e : 0.000522
  EX_mn2_e : 0.000508
  EX_zn2_e : 0.000251
  EX_ni2_e : 0.000238
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_h2o_e : 48.214669
  EX_co2_e : 26.015123
  EX_h_e : 7.863037
  Auxiliary production reaction : 0.386897
  EX_g3pe_e : 0.059880
  DM_oxam_c : 0.000823
  DM_5drib_c : 0.000494
  DM_4crsol_c : 0.000164

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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