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 : accoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (40 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b3553 b4069 b4384 b3708 b3008 b3752 b2297 b2458 b2407 b1238 b1982 b2797 b3117 b1814 b4471 b1033 b2440 b0595 b0261 b3709 b4381 b2239 b2406 b3161 b0112 b0452 b0114 b0886 b0509 b3125 b1539 b2492 b0904 b2578 b1533 b3927 b1473 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.694807 (mmol/gDw/h)
  Minimum Production Rate : 0.220711 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 23.448710
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.049665
  EX_pi_e : 1.332403
  EX_so4_e : 0.395677
  EX_k_e : 0.135621
  EX_fe2_e : 0.011159
  EX_mg2_e : 0.006027
  EX_ca2_e : 0.003616
  EX_cl_e : 0.003616
  EX_cu2_e : 0.000493
  EX_mn2_e : 0.000480
  EX_zn2_e : 0.000237
  EX_ni2_e : 0.000224
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 47.914955
  EX_co2_e : 25.151198
  EX_h_e : 7.673013
  EX_ac_e : 0.625218
  Auxiliary production reaction : 0.220711
  DM_oxam_c : 0.000777
  DM_5drib_c : 0.000466
  DM_4crsol_c : 0.000155
  EX_g3pe_e : 0.000056

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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