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 : dutp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (47 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 37
  Gene deletion: b4467 b1478 b4382 b1241 b4069 b4384 b3752 b2297 b2458 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b3665 b0411 b2799 b3945 b1602 b0153 b2913 b3654 b3714 b3664 b0584 b0755 b3612 b0529 b2492 b0904 b1380 b1517 b0606 b2285 b1011   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.371796 (mmol/gDw/h)
  Minimum Production Rate : 1.170497 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 34.148366
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.356354
  EX_pi_e : 3.870127
  EX_so4_e : 0.093626
  EX_k_e : 0.072572
  EX_fe2_e : 0.005971
  EX_mg2_e : 0.003225
  EX_ca2_e : 0.001935
  EX_cl_e : 0.001935
  EX_cu2_e : 0.000264
  EX_mn2_e : 0.000257
  EX_zn2_e : 0.000127
  EX_ni2_e : 0.000120

Product: (mmol/gDw/h)
  EX_h2o_e : 54.123853
  EX_co2_e : 33.771288
  EX_h_e : 3.632660
  Auxiliary production reaction : 1.170497
  EX_ac_e : 0.216454
  EX_mththf_e : 0.000167
  DM_5drib_c : 0.000084
  DM_4crsol_c : 0.000083

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.

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Last updated: 21-Sep-2023
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