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 : dtdpglu_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (52 of 74: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b2836 b4382 b4384 b2744 b3614 b0910 b4152 b2781 b1612 b1611 b4122 b1759 b4374 b0675 b4138 b4123 b0621 b2239 b2406 b3453 b2197 b3918 b0789 b1249 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.693010 (mmol/gDw/h)
  Minimum Production Rate : 0.365954 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.924956
  EX_o2_e : 271.557759
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.467399
  EX_pi_e : 1.400445
  EX_so4_e : 0.174514
  EX_k_e : 0.135271
  EX_mg2_e : 0.006012
  EX_ca2_e : 0.003607
  EX_cl_e : 0.003607
  EX_cu2_e : 0.000491
  EX_mn2_e : 0.000479
  EX_zn2_e : 0.000236
  EX_ni2_e : 0.000224
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_fe3_e : 999.988870
  EX_h2o_e : 545.245631
  EX_co2_e : 22.306946
  EX_succ_e : 0.722665
  Auxiliary production reaction : 0.365954
  EX_ura_e : 0.125493
  DM_5drib_c : 0.000156
  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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