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 (17 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b2836 b4382 b1241 b0351 b4069 b4384 b3708 b3752 b0512 b2297 b2458 b2779 b2926 b3617 b2407 b1982 b2797 b3117 b1814 b4471 b0261 b2406 b0112 b0511 b0114 b1539 b2492 b0904 b1533 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.459720 (mmol/gDw/h)
  Minimum Production Rate : 0.458540 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 25.190192
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.176771
  EX_pi_e : 1.819068
  EX_so4_e : 0.574306
  EX_k_e : 0.089734
  EX_fe2_e : 0.007384
  EX_mg2_e : 0.003988
  EX_ca2_e : 0.002393
  EX_cl_e : 0.002393
  EX_cu2_e : 0.000326
  EX_mn2_e : 0.000318
  EX_zn2_e : 0.000157
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 47.485081
  EX_co2_e : 26.628266
  EX_h_e : 8.036397
  EX_ac_e : 2.434477
  Auxiliary production reaction : 0.458540
  EX_xan_e : 0.000514
  DM_5drib_c : 0.000308
  EX_glyc__R_e : 0.000154
  DM_4crsol_c : 0.000103

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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