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 : dnad_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (10 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3399 b1241 b0351 b4069 b2502 b2744 b3115 b1849 b2296 b1982 b3616 b3589 b4374 b0675 b2361 b2291 b0261 b0507 b0112 b2975 b0114 b3603 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.467953 (mmol/gDw/h)
  Minimum Production Rate : 0.896819 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 20.486849
  EX_nh4_e : 10.435289
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.245028
  EX_so4_e : 0.117840
  EX_k_e : 0.091341
  EX_fe2_e : 0.007516
  EX_mg2_e : 0.004059
  EX_ca2_e : 0.002436
  EX_cl_e : 0.002436
  EX_cu2_e : 0.000332
  EX_mn2_e : 0.000323
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000151
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 49.089102
  EX_co2_e : 18.794331
  EX_h_e : 9.469592
  EX_ac_e : 1.581531
  Auxiliary production reaction : 0.896819
  DM_oxam_c : 0.000524
  DM_5drib_c : 0.000314
  DM_4crsol_c : 0.000104

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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