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 : adn_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (56 of 87: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b2836 b4384 b2744 b3708 b3008 b0871 b2779 b0030 b2407 b2797 b3117 b1814 b4471 b3665 b4374 b2361 b2291 b0411 b3654 b3714 b3664 b0114 b2366 b0529 b2492 b0904 b1533 b3927 b1511 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.494309 (mmol/gDw/h)
  Minimum Production Rate : 0.114068 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.879914
  EX_o2_e : 287.797576
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.908732
  EX_pi_e : 0.476813
  EX_so4_e : 0.124478
  EX_k_e : 0.096486
  EX_mg2_e : 0.004288
  EX_cl_e : 0.002573
  EX_ca2_e : 0.002573
  EX_cu2_e : 0.000350
  EX_mn2_e : 0.000342
  EX_zn2_e : 0.000169
  EX_ni2_e : 0.000160
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992059
  EX_h2o_e : 552.873193
  EX_co2_e : 38.569310
  Auxiliary production reaction : 0.114048
  DM_mththf_c : 0.000221
  DM_5drib_c : 0.000111
  DM_4crsol_c : 0.000110

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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