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 : glyclt_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (24 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0871 b3617 b0160 b3124 b1982 b4374 b0675 b2361 b2291 b0261 b0112 b2789 b3127 b0114 b0529 b2492 b0904 b0514   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.518480 (mmol/gDw/h)
  Minimum Production Rate : 0.843074 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 20.878680
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.442848
  EX_pi_e : 0.500129
  EX_so4_e : 0.130564
  EX_k_e : 0.101204
  EX_fe2_e : 0.008327
  EX_mg2_e : 0.004498
  EX_ca2_e : 0.002699
  EX_cl_e : 0.002699
  EX_cu2_e : 0.000368
  EX_mn2_e : 0.000358
  EX_zn2_e : 0.000177
  EX_ni2_e : 0.000167
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 40.540206
  EX_co2_e : 22.633785
  EX_h_e : 7.293690
  EX_acald_e : 1.299172
  DM_oxam_c : 0.843307
  DM_5drib_c : 0.843075
  EX_glyclt_e : 0.843074
  DM_4crsol_c : 0.842843

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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