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 : mmcoa__S_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (33 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: b4382 b4384 b2744 b3708 b3008 b3752 b0871 b2407 b0121 b1982 b2797 b3117 b1814 b4471 b0261 b0411 b2943 b0452 b0114 b0886 b2366 b2492 b0904 b2578 b1533 b3927 b3825 b3029 b4141 b1798 b3662 b1378   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.748346 (mmol/gDw/h)
  Minimum Production Rate : 0.099420 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 25.149822
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.778009
  EX_pi_e : 1.020119
  EX_so4_e : 0.287868
  EX_k_e : 0.146072
  EX_fe2_e : 0.012019
  EX_mg2_e : 0.006492
  EX_ca2_e : 0.003895
  EX_cl_e : 0.003895
  EX_cu2_e : 0.000531
  EX_mn2_e : 0.000517
  EX_zn2_e : 0.000255
  EX_ni2_e : 0.000242
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.646241
  EX_co2_e : 26.796683
  EX_h_e : 7.273778
  Auxiliary production reaction : 0.099420
  DM_5drib_c : 0.000502
  DM_4crsol_c : 0.000167

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
Contact