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

Model : iML1515 [2].
Target metabolite : 6hmhptpp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (60 of 95: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3553 b3399 b1241 b0351 b4069 b2744 b3115 b1849 b2296 b2779 b2926 b0160 b1982 b3616 b3589 b1033 b0675 b2361 b0261 b2913 b4381 b2406 b0112 b2789 b3127 b0114 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.400185 (mmol/gDw/h)
  Minimum Production Rate : 1.512944 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 28.163808
  EX_nh4_e : 11.897601
  EX_glc__D_e : 10.000000
  EX_pi_e : 3.411909
  EX_so4_e : 0.100775
  EX_k_e : 0.078113
  EX_fe2_e : 0.006427
  EX_mg2_e : 0.003472
  EX_ca2_e : 0.002083
  EX_cl_e : 0.002083
  EX_cu2_e : 0.000284
  EX_mn2_e : 0.000277
  EX_zn2_e : 0.000136
  EX_ni2_e : 0.000129
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 53.207494
  EX_co2_e : 24.462554
  EX_h_e : 13.999853
  EX_ac_e : 2.735969
  EX_glyclt_e : 1.513212
  Auxiliary production reaction : 1.512944
  DM_oxam_c : 0.010919
  DM_5drib_c : 0.000269
  DM_4crsol_c : 0.000089

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].
  3. Select "Data > Load reaction data" and apply the downloaded file.

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: 21-Sep-2023
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