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 : icit_x
List of minimal gene deletion strategies (Download)

Gene deletion strategy (36 of 48: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: PHATRDRAFT_2793 PHATRDRAFT_31994 PHATRDRAFT_54082 PHATRDRAFT_800 PHATRDRAFT_12031 PHATRDRAFT_44906 PHATRDRAFT_draft976 PHATRDRAFT_12762 Phatr3_EG02232 PHATRDRAFT_draft1186 Phatr_9124 PHATRDRAFT_29016 PHATRDRAFT_29157 Phatr3_EG02251 PHATRDRAFT_29702 PHATRDRAFT_50742 Phatr3_EG02361 Phatr3_EG02042 PHATRDRAFT_36906 PHATRDRAFT_859 PHATRDRAFT_18940 PHATRDRAFT_15140 PHATRDRAFT_20504 PHATRDRAFT_11414 PHATRDRAFT_22117 PHATRDRAFT_51970 PHATRDRAFT_15777 PHATRDRAFT_44482 PHATRDRAFT_43697 PHATRDRAFT_45428 PHATRDRAFT_15536 PHATRDRAFT_8945 PHATRDRAFT_41686 PHATRDRAFT_54528   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.359607 (mmol/gDw/h)
  Minimum Production Rate : 0.028254 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_photon_e : 1000.000000
  EX_co2_e : 52.950345
  EX_h2o_e : 36.797406
  EX_no3_e : 1.760000
  EX_pi_e : 0.089293
  EX_so4_e : 0.063953
  EX_mg2_e : 0.006427

Product: (mmol/gDw/h)
  EX_o2_e : 50.212393
  EX_h_e : 16.163476
  Auxiliary production reaction : 5.927020
  DM_biomass_c : 0.359607
  SK_for_c : 0.306368

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