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 : nacglc2p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (31 of 47: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 21
  Gene deletion: PHATRDRAFT_13643 PHATRDRAFT_34010 PHATRDRAFT_42015 PHATRDRAFT_55192 PHATRDRAFT_49112 Phatr3_EG02232 PHATRDRAFT_55126 PHATRDRAFT_3046 PHATRDRAFT_31906 PHATRDRAFT_36913 PHATRDRAFT_28191 PHATRDRAFT_50742 Phatr3_EG02042 PHATRDRAFT_36906 PHATRDRAFT_20948 PHATRDRAFT_26515 PHATRDRAFT_23723 PHATRDRAFT_43697 PHATRDRAFT_28181 PHATRDRAFT_12452 Phatr3_EG02611   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.359200 (mmol/gDw/h)
  Minimum Production Rate : 0.001961 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_photon_e : 1000.000000
  EX_h2o_e : 92.953415
  EX_co2_e : 80.595366
  EX_so4_e : 2.608051
  EX_no3_e : 1.760000
  EX_pi_e : 0.093174
  EX_mg2_e : 0.006419

Product: (mmol/gDw/h)
  EX_o2_e : 107.693603
  EX_etoh_e : 19.222138
  SK_for_c : 12.207648
  EX_h_e : 5.191557
  DM_dmsp_c : 2.544171
  DM_biomass_c : 0.359200
  DM_fald_m : 0.034620
  Auxiliary production reaction : 0.001991

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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