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 : prbatp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (41 of 47: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b4467 b1478 b4382 b4269 b0493 b3588 b3003 b3011 b1241 b4384 b3752 b0871 b2779 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b0207 b3012 b1982 b0261 b0411 b2799 b1602 b3915 b0529 b2492 b0904 b1781 b3001 b1380 b0325 b2660 b1771 b0606 b2285 b1007   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.393725 (mmol/gDw/h)
  Minimum Production Rate : 0.503047 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 36.707464
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.769189
  EX_pi_e : 2.391978
  EX_so4_e : 0.099148
  EX_k_e : 0.076852
  EX_fe3_e : 0.006324
  EX_mg2_e : 0.003416
  EX_ca2_e : 0.002049
  EX_cl_e : 0.002049
  EX_cu2_e : 0.000279
  EX_mn2_e : 0.000272
  EX_zn2_e : 0.000134
  EX_ni2_e : 0.000127

Product: (mmol/gDw/h)
  EX_h2o_e : 54.737363
  EX_co2_e : 36.290630
  EX_h_e : 5.134925
  Auxiliary production reaction : 0.503047
  EX_hxan_e : 0.000441
  DM_5drib_c : 0.000264
  DM_4crsol_c : 0.000088

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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