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 : itp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 90: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3399 b4069 b2744 b3708 b3008 b2297 b2458 b0160 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b2291 b0261 b4381 b0114 b2366 b2492 b0904 b1533 b3927 b3825 b0494   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.748639 (mmol/gDw/h)
  Minimum Production Rate : 0.317121 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.039092
  EX_o2_e : 274.419251
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.353723
  EX_pi_e : 1.673506
  EX_so4_e : 0.188522
  EX_k_e : 0.146129
  EX_mg2_e : 0.006494
  EX_ca2_e : 0.003897
  EX_cl_e : 0.003897
  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_fe3_e : 999.987976
  EX_h2o_e : 549.113283
  EX_co2_e : 25.227231
  EX_ac_e : 0.435847
  Auxiliary production reaction : 0.317121
  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
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