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 : ppcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (85 of 117: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: b3399 b4382 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2502 b2744 b3708 b3008 b0871 b3617 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b0261 b4381 b2406 b0112 b0452 b0114 b0886 b1539 b2492 b0904 b2578 b1533 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.585795 (mmol/gDw/h)
  Minimum Production Rate : 0.345282 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 21.614134
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.743506
  EX_pi_e : 1.600907
  EX_so4_e : 0.492797
  EX_k_e : 0.114343
  EX_fe2_e : 0.009408
  EX_mg2_e : 0.005082
  EX_cl_e : 0.003049
  EX_ca2_e : 0.003049
  EX_cu2_e : 0.000415
  EX_mn2_e : 0.000405
  EX_zn2_e : 0.000200
  EX_ni2_e : 0.000189
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_h2o_e : 46.614233
  EX_co2_e : 24.239378
  EX_h_e : 6.418360
  EX_acald_e : 1.714186
  Auxiliary production reaction : 0.345282
  DM_5drib_c : 0.000393
  DM_4crsol_c : 0.000131

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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