MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iLB1027_lipid [2].
Target metabolite : h2o2_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (30 of 35: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: PHATRDRAFT_27726 PHATRDRAFT_23467 PHATRDRAFT_13987 PHATRDRAFT_draft877 PHATRDRAFT_800 PHATRDRAFT_30145 Phatr3_EG02269 PHATRDRAFT_29157 PHATRDRAFT_50742 PHATRDRAFT_41063 PHATRDRAFT_33839 PHATRDRAFT_36641 PHATRDRAFT_46880 PHATRDRAFT_37658 PHATRDRAFT_34976 Phatr3_EG02042 PHATRDRAFT_36906 PHATRDRAFT_13005 PHATRDRAFT_50084 PHATRDRAFT_22117 PHATRDRAFT_32849 PHATRDRAFT_draft1517 PHATRDRAFT_28585 PHATRDRAFT_43697 PHATRDRAFT_49505 PHATRDRAFT_28181   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.302221 (mmol/gDw/h)
  Minimum Production Rate : 114.860061 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_photon_e : 1000.000000
  EX_h2o_e : 125.860603
  EX_o2_e : 37.645850
  EX_co2_e : 14.613425
  EX_no3_e : 1.760000
  EX_h_e : 1.359451
  EX_pi_e : 0.075044
  EX_so4_e : 0.053747
  EX_mg2_e : 0.005401

Product: (mmol/gDw/h)
  Auxiliary production reaction : 114.860061
  DM_biomass_c : 0.302221
  DM_no3_c : 0.280859
  SK_for_c : 0.257478

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].

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: 27-Sep-2023
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