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 : 12ppd__R_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3553 b4069 b3926 b3115 b1849 b2296 b2925 b2097 b2926 b1004 b3713 b1109 b0046 b3236 b3946 b0825 b1033 b1602 b2913 b2492 b0904 b1380 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.487566 (mmol/gDw/h)
  Minimum Production Rate : 1.106419 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.228361
  EX_o2_e : 283.951825
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.265675
  EX_pi_e : 0.470309
  EX_so4_e : 0.122779
  EX_k_e : 0.095170
  EX_mg2_e : 0.004230
  EX_ca2_e : 0.002538
  EX_cl_e : 0.002538
  EX_cu2_e : 0.000346
  EX_mn2_e : 0.000337
  EX_zn2_e : 0.000166
  EX_ni2_e : 0.000157
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992169
  EX_h2o_e : 547.865621
  EX_co2_e : 36.100678
  EX_12ppd__R_e : 1.106419
  EX_ac_e : 0.283854
  DM_5drib_c : 0.000110
  DM_4crsol_c : 0.000109

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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