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 : ametam_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (65 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b2744 b3708 b3008 b3752 b0871 b3617 b2407 b1982 b2797 b3117 b1814 b4471 b4374 b2361 b2291 b0261 b0114 b2366 b2492 b0904 b1533 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.628923 (mmol/gDw/h)
  Minimum Production Rate : 0.378956 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.453195
  EX_o2_e : 272.554478
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.066048
  EX_pi_e : 0.606662
  EX_so4_e : 0.537332
  EX_k_e : 0.122761
  EX_mg2_e : 0.005456
  EX_cl_e : 0.003274
  EX_ca2_e : 0.003274
  EX_cu2_e : 0.000446
  EX_mn2_e : 0.000435
  EX_zn2_e : 0.000214
  EX_ni2_e : 0.000203
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_fe3_e : 999.989899
  EX_h2o_e : 546.727840
  EX_co2_e : 25.198353
  EX_acald_e : 1.840237
  Auxiliary production reaction : 0.378956
  DM_5drib_c : 0.000422
  DM_4crsol_c : 0.000140

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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