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 : bmoco1gdp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (41 of 137: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4384 b2744 b3708 b3008 b0871 b0030 b2407 b1982 b2797 b3117 b1814 b4471 b4374 b2361 b2291 b0261 b0452 b0114 b2366 b2492 b0904 b2578 b1533 b3927 b3447 b0221   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.781799 (mmol/gDw/h)
  Minimum Production Rate : 0.031668 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 25.322087
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.918379
  EX_pi_e : 0.849131
  EX_so4_e : 0.323544
  EX_k_e : 0.152602
  EX_mobd_e : 0.031673
  EX_fe2_e : 0.012556
  EX_mg2_e : 0.006782
  EX_ca2_e : 0.004069
  EX_cl_e : 0.004069
  EX_cu2_e : 0.000554
  EX_mn2_e : 0.000540
  EX_zn2_e : 0.000267
  EX_ni2_e : 0.000253
  EX_cobalt2_e : 0.000020

Product: (mmol/gDw/h)
  EX_h2o_e : 48.997498
  EX_co2_e : 26.958968
  EX_h_e : 7.278484
  Auxiliary production reaction : 0.031668
  DM_5drib_c : 0.000525
  DM_4crsol_c : 0.000174

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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