MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iNF517 [2].
Target metabolite : arg__L_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (1 of 4: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 1
  Gene deletion: LLMG_RS11595   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.026255 (mmol/gDw/h)
  Minimum Production Rate : 0.005367 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 2.120000
  EX_h2o_e : 0.454371
  EX_ser__L_e : 0.110000
  EX_glu__L_e : 0.050000
  EX_ala__L_e : 0.040000
  EX_gly_e : 0.040000
  EX_thr__L_e : 0.020000
  EX_pi_e : 0.018100
  EX_arg__L_e : 0.010000
  EX_asp__L_e : 0.010000
  EX_ile__L_e : 0.010000
  EX_leu__L_e : 0.010000
  EX_met__L_e : 0.010000
  EX_val__L_e : 0.010000
  EX_lys__L_e : 0.009335
  EX_cys__L_e : 0.005410
  EX_orot_e : 0.003978
  EX_gua_e : 0.003114
  EX_ins_e : 0.002550
  EX_his__L_e : 0.001985
  EX_thymd_e : 0.000622
  EX_ade_e : 0.000375
  EX_phe__L_e : 0.000201
  EX_nac_e : 0.000053

Product: (mmol/gDw/h)
  EX_h_e : 4.903504
  EX_for_e : 3.875359
  EX_acald_e : 2.533489
  EX_ac_e : 0.830000
  EX_etoh_e : 0.537247
  EX_lac__L_e : 0.400000
  EX_nh4_e : 0.150181
  EX_pro__L_e : 0.030000
  EX_co2_e : 0.017318
  EX_2h3mp_e : 0.010981
  EX_ch4s_e : 0.007378
  Auxiliary production reaction : 0.005367
  EX_succ_e : 0.002550
  EX_2h3mb_e : 0.001948
  EX_h2s_e : 0.000416
  EX_2hxic__L_e : 0.000294

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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