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 : glyc__R_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (36 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b2836 b3553 b1478 b1241 b4069 b3708 b2297 b2458 b2779 b1004 b3713 b1109 b0046 b3236 b1779 b2797 b3117 b1814 b4471 b1033 b0261 b1602 b2913 b4381 b2789 b3127 b0114 b1539 b2492 b0904 b1533 b1380 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.489187 (mmol/gDw/h)
  Minimum Production Rate : 0.103883 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 38.047863
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.283183
  EX_pi_e : 0.471873
  EX_so4_e : 0.123187
  EX_k_e : 0.095486
  EX_fe2_e : 0.007857
  EX_mg2_e : 0.004244
  EX_ca2_e : 0.002546
  EX_cl_e : 0.002546
  EX_cu2_e : 0.000347
  EX_mn2_e : 0.000338
  EX_zn2_e : 0.000167
  EX_ni2_e : 0.000158
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 51.957945
  EX_co2_e : 39.039858
  EX_h_e : 4.883530
  EX_ac_e : 0.284798
  Auxiliary production reaction : 0.103883
  DM_5drib_c : 0.000110
  DM_4crsol_c : 0.000109

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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