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 : dhpt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (21 of 115: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3553 b3399 b1241 b0351 b4069 b2502 b2744 b2297 b2458 b3617 b1982 b1033 b4374 b0675 b2361 b2291 b0261 b0112 b2868 b0114 b0509 b3125 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.364176 (mmol/gDw/h)
  Minimum Production Rate : 1.395867 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 22.269568
  EX_nh4_e : 12.310309
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.351286
  EX_so4_e : 0.091707
  EX_k_e : 0.071085
  EX_fe2_e : 0.005849
  EX_mg2_e : 0.003159
  EX_cl_e : 0.001896
  EX_ca2_e : 0.001896
  EX_cu2_e : 0.000258
  EX_mn2_e : 0.000252
  EX_zn2_e : 0.000124
  EX_ni2_e : 0.000118

Product: (mmol/gDw/h)
  EX_h2o_e : 50.812893
  EX_co2_e : 18.858066
  EX_h_e : 16.443899
  EX_ac_e : 1.928488
  EX_glyclt_e : 1.396111
  Auxiliary production reaction : 1.395867
  EX_ade_e : 0.000408
  DM_5drib_c : 0.000244
  DM_4crsol_c : 0.000081

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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