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 : uacgam_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (66 of 74: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b4467 b2242 b4382 b3831 b4384 b3614 b0910 b3752 b2781 b1004 b3713 b1109 b0046 b1612 b1611 b4122 b1759 b2210 b1415 b4138 b4123 b0621 b2406 b2492 b0904 b2197 b3825 b3028 b3918 b1912 b0494 b1206 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.548630 (mmol/gDw/h)
  Minimum Production Rate : 0.289756 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 29.568643
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.993027
  EX_pi_e : 1.108723
  EX_so4_e : 0.138156
  EX_k_e : 0.107089
  EX_fe2_e : 0.008812
  EX_mg2_e : 0.004759
  EX_ca2_e : 0.002856
  EX_cl_e : 0.002856
  EX_cu2_e : 0.000389
  EX_mn2_e : 0.000379
  EX_zn2_e : 0.000187
  EX_ni2_e : 0.000177
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 48.613516
  EX_co2_e : 29.869787
  EX_h_e : 6.673603
  EX_succ_e : 0.572106
  Auxiliary production reaction : 0.289756
  EX_ura_e : 0.099304
  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.

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Last updated: 21-Sep-2023
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