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 : aicar_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (23 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b1241 b0351 b4069 b4384 b2297 b2458 b2779 b3617 b0030 b2407 b0907 b1779 b1982 b0261 b4381 b2406 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.410858 (mmol/gDw/h)
  Minimum Production Rate : 1.574798 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 25.594152
  EX_nh4_e : 10.736888
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.971115
  EX_so4_e : 0.103462
  EX_k_e : 0.080197
  EX_fe2_e : 0.006599
  EX_mg2_e : 0.003564
  EX_ca2_e : 0.002139
  EX_cl_e : 0.002139
  EX_cu2_e : 0.000291
  EX_mn2_e : 0.000284
  EX_zn2_e : 0.000140
  EX_ni2_e : 0.000133
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 48.344383
  EX_co2_e : 23.320646
  EX_h_e : 12.895211
  EX_ac_e : 2.819785
  Auxiliary production reaction : 1.574798
  DM_oxam_c : 0.000460
  DM_5drib_c : 0.000276
  EX_dxylnt_e : 0.000183
  DM_4crsol_c : 0.000092

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.

Last updated: 21-Sep-2023
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