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 : dtdp4d6dg_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 51: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b2242 b3553 b2744 b1278 b3614 b0910 b2781 b1004 b3713 b1109 b0046 b1612 b1611 b4122 b1759 b2210 b1033 b4374 b0675 b2361 b2291 b1415 b4138 b4123 b0621 b2197 b3825 b3028 b3918 b0494 b1206 b2285 b3893 b1474   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.545187 (mmol/gDw/h)
  Minimum Production Rate : 0.287938 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.646115
  EX_o2_e : 279.756729
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.661211
  EX_pi_e : 1.101766
  EX_so4_e : 0.137289
  EX_k_e : 0.106417
  EX_mg2_e : 0.004729
  EX_cl_e : 0.002838
  EX_ca2_e : 0.002838
  EX_cu2_e : 0.000387
  EX_mn2_e : 0.000377
  EX_zn2_e : 0.000186
  EX_ni2_e : 0.000176
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991244
  EX_h2o_e : 548.679246
  EX_co2_e : 30.345442
  EX_succ_e : 0.568517
  Auxiliary production reaction : 0.287938
  EX_ura_e : 0.098681
  EX_for_e : 0.001337
  DM_5drib_c : 0.000123
  DM_4crsol_c : 0.000122

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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