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 : lys__L_h
List of minimal gene deletion strategies (Download)

Gene deletion strategy (40 of 46: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 22
  Gene deletion: PHATRDRAFT_800 Phatr3_EG02232 PHATRDRAFT_48983 PHATRDRAFT_45017 PHATRDRAFT_14762 PHATRDRAFT_45239 PHATRDRAFT_50742 PHATRDRAFT_43194 PHATRDRAFT_41886 PHATRDRAFT_44982 PHATRDRAFT_23723 PHATRDRAFT_35566 PHATRDRAFT_21970 PHATRDRAFT_39772 PHATRDRAFT_16375 PHATRDRAFT_50804 PHATRDRAFT_32849 PHATRDRAFT_draft1517 PHATRDRAFT_28585 PHATRDRAFT_45428 PHATRDRAFT_23830 PHATRDRAFT_45141   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.210154 (mmol/gDw/h)
  Minimum Production Rate : 0.365729 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_photon_e : 221.927256
  EX_co2_e : 20.047782
  EX_h2o_e : 17.617419
  EX_no3_e : 1.760000
  EX_pi_e : 0.052183
  EX_so4_e : 0.037374
  EX_mg2_e : 0.003756

Product: (mmol/gDw/h)
  EX_o2_e : 21.800055
  SK_for_c : 7.686721
  EX_h_e : 5.465178
  Auxiliary production reaction : 0.365729
  DM_biomass_c : 0.210154
  EX_etoh_e : 0.081908
  DM_fald_m : 0.020255

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
Contact