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 : orot5p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (91 of 112: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3831 b3614 b0910 b3752 b3926 b2930 b4232 b3697 b3925 b4152 b2779 b2781 b1612 b1611 b4122 b1759 b3946 b0825 b0411 b4138 b4123 b0621 b2913 b4381 b3918 b1206 b2285 b3893 b1474   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.415785 (mmol/gDw/h)
  Minimum Production Rate : 0.219595 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.648105
  EX_o2_e : 280.995617
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.080150
  EX_pi_e : 0.620664
  EX_so4_e : 0.104703
  EX_k_e : 0.081158
  EX_mg2_e : 0.003607
  EX_ca2_e : 0.002164
  EX_cl_e : 0.002164
  EX_cu2_e : 0.000295
  EX_mn2_e : 0.000287
  EX_zn2_e : 0.000142
  EX_ni2_e : 0.000134
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_fe3_e : 999.993322
  EX_h2o_e : 544.548941
  EX_co2_e : 31.005917
  EX_ac_e : 3.848362
  EX_succ_e : 0.433577
  Auxiliary production reaction : 0.219595
  EX_ura_e : 0.075258
  DM_5drib_c : 0.000094
  DM_4crsol_c : 0.000093

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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