MetNetComp Database [1] / Minimal gene deletions Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iPC815 [2].
Target metabolite : apg141_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (26 of 34: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: YPO1384 YPO4078 YPO3825 YPO3937 YPO0461 YPO3428 YPO3977 YPO0348 YPO0253 YPO3992 YPO0347 YPO3831 YPO3202 YPO3516 YPO0436 YPO0670 YPO2303 YPO3914 YPO3868 YPO3270 YPO3376 YPO1389 YPO1851 YPO3418 YPO2370 YPO2567   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.109460 (mmol/gDw/h)
  Minimum Production Rate : 0.010394 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_h_e : 8.396156
  EX_cit_e : 7.400000
  EX_o2_e : 3.967258
  EX_gly_e : 2.200000
  EX_cys__L_e : 1.000000
  EX_glc__D_e : 0.134749
  EX_pi_e : 0.100012
  EX_phe__L_e : 0.020797
  EX_met__L_e : 0.015324
  EX_tyr__L_e : 0.014230

Product: (mmol/gDw/h)
  EX_co2_e : 13.733561
  EX_succ_e : 7.400000
  EX_h2o_e : 5.629935
  EX_h2s_e : 0.992003
  EX_nh4_e : 0.718123
  EX_lys__L_e : 0.595935
  EX_ac_e : 0.410000
  EX_glyald_e : 0.010971
  Auxiliary production reaction : 0.010394

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.

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Last updated: 27-Sep-2023
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