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 : 5apru_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (40 of 116: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b1241 b0351 b4069 b4384 b2744 b2297 b2458 b0030 b2407 b1982 b3616 b3589 b4374 b2361 b2291 b0261 b0411 b0507 b0112 b2975 b0114 b3603 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.458224 (mmol/gDw/h)
  Minimum Production Rate : 1.756348 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 23.942854
  EX_nh4_e : 11.974687
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.198354
  EX_so4_e : 0.115390
  EX_k_e : 0.089442
  EX_fe2_e : 0.007360
  EX_mg2_e : 0.003975
  EX_ca2_e : 0.002385
  EX_cl_e : 0.002385
  EX_cu2_e : 0.000325
  EX_mn2_e : 0.000317
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 48.437766
  EX_co2_e : 20.529176
  EX_h_e : 13.663589
  EX_ac_e : 2.426825
  Auxiliary production reaction : 1.756348
  DM_oxam_c : 0.000513
  DM_5drib_c : 0.000307
  DM_4crsol_c : 0.000102

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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