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 : fgam_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (41 of 86: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0512 b0871 b2926 b3617 b0160 b1982 b4374 b0675 b2361 b2291 b0261 b0112 b0114 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.468448 (mmol/gDw/h)
  Minimum Production Rate : 1.520202 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 24.275289
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.106912
  EX_pi_e : 1.972069
  EX_so4_e : 0.117964
  EX_k_e : 0.091438
  EX_fe2_e : 0.007524
  EX_mg2_e : 0.004064
  EX_ca2_e : 0.002438
  EX_cl_e : 0.002438
  EX_cu2_e : 0.000332
  EX_mn2_e : 0.000324
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000151
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 44.707071
  EX_co2_e : 24.718944
  EX_h_e : 7.352001
  EX_acald_e : 1.933905
  Auxiliary production reaction : 1.520202
  EX_alltn_e : 0.001829
  DM_5drib_c : 0.001619
  DM_4crsol_c : 0.001409

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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