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 (7 of 34: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 22
  Gene deletion: YPO3371 YPO1384 YPO4078 YPO3825 YPO3937 YPO3949 YPO3428 YPO0348 YPO0253 YPO3516 YPO1964 YPO1109 YPO0436 YPO0670 YPO2303 YPO3914 YPO1851 YPO3418 YPO2370 YPO2836 YPO0442 YPO2567   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.283558 (mmol/gDw/h)
  Minimum Production Rate : 0.030642 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_cit_e : 6.694825
  EX_o2_e : 6.248118
  EX_h_e : 5.248930
  EX_gly_e : 2.200000
  EX_glc__D_e : 2.000000
  EX_cys__L_e : 1.000000
  EX_pi_e : 0.289405
  EX_lys__L_e : 0.070890
  EX_phe__L_e : 0.053876
  EX_met__L_e : 0.039698
  EX_tyr__L_e : 0.036863
  EX_pnto__R_e : 0.000017

Product: (mmol/gDw/h)
  EX_co2_e : 15.620113
  EX_h2o_e : 10.393166
  EX_succ_e : 6.342644
  EX_ac_e : 2.348269
  EX_h2s_e : 0.979284
  EX_glyald_e : 0.058743
  Auxiliary production reaction : 0.057248
  EX_lcts_e : 0.010059

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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