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 : h2s_m
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 51: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 17
  Gene deletion: PHATRDRAFT_draft1186 PHATRDRAFT_22404 PHATRDRAFT_19244 PHATRDRAFT_45239 Phatr3_EG02251 PHATRDRAFT_1155 PHATRDRAFT_13232 PHATRDRAFT_50742 Phatr3_EG02361 PHATRDRAFT_14356 PHATRDRAFT_39711 PHATRDRAFT_54151 PHATRDRAFT_43697 PHATRDRAFT_45428 PHATRDRAFT_draft18 PHATRDRAFT_15536 PHATRDRAFT_8945   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.113087 (mmol/gDw/h)
  Minimum Production Rate : 1.551336 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_photon_e : 1000.000000
  EX_co2_e : 15.257121
  EX_h2o_e : 7.984686
  EX_h_e : 3.551831
  EX_so4_e : 1.760384
  EX_no3_e : 1.760000
  EX_pi_e : 0.031064
  EX_mg2_e : 0.002021

Product: (mmol/gDw/h)
  EX_o2_e : 24.455306
  Auxiliary production reaction : 1.740272
  DM_indole_c : 1.206524
  EX_etoh_e : 0.115064
  DM_biomass_c : 0.113087
  DM_minohp_c : 0.000497

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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