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_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (43 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b3752 b0871 b3617 b2407 b3124 b1982 b0261 b4381 b2406 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904 b0514 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.517936 (mmol/gDw/h)
  Minimum Production Rate : 0.842189 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 20.919733
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.436087
  EX_pi_e : 0.499604
  EX_so4_e : 0.130427
  EX_k_e : 0.101097
  EX_fe2_e : 0.008319
  EX_mg2_e : 0.004493
  EX_ca2_e : 0.002696
  EX_cl_e : 0.002696
  EX_cu2_e : 0.000367
  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 : 40.560627
  EX_co2_e : 22.672996
  EX_h_e : 7.286037
  EX_acald_e : 1.297809
  DM_oxam_c : 0.842423
  DM_5drib_c : 0.842191
  Auxiliary production reaction : 0.842189
  DM_4crsol_c : 0.841958

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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