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 : 25drapp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (34 of 77: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3399 b1241 b0351 b4069 b2502 b2744 b2297 b2458 b2925 b2097 b1238 b1851 b1982 b1200 b3616 b3589 b0675 b2361 b0261 b0505 b4381 b0112 b0114 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.445883 (mmol/gDw/h)
  Minimum Production Rate : 0.658256 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 22.162143
  EX_nh4_e : 10.208853
  EX_glc__D_e : 10.000000
  EX_so4_e : 2.013889
  EX_pi_e : 1.088357
  EX_k_e : 0.087033
  EX_fe2_e : 0.007161
  EX_mg2_e : 0.003868
  EX_ca2_e : 0.002321
  EX_cl_e : 0.002321
  EX_cu2_e : 0.000316
  EX_mn2_e : 0.000308
  EX_zn2_e : 0.000152
  EX_ni2_e : 0.000144
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 49.408021
  EX_co2_e : 24.745197
  EX_h_e : 5.947177
  EX_h2s_e : 1.901607
  EX_thymd_e : 1.050790
  Auxiliary production reaction : 0.658256
  EX_ac_e : 0.259587
  DM_oxam_c : 0.000499
  DM_5drib_c : 0.000299
  DM_4crsol_c : 0.000099

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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