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 : pgp141_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (42 of 47: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4382 b3846 b2341 b0474 b2518 b3831 b4384 b3752 b4152 b2781 b1612 b1611 b4122 b1759 b4161 b4138 b4123 b0621 b2406 b0452 b2197 b3918 b0789 b1249 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.576161 (mmol/gDw/h)
  Minimum Production Rate : 0.304296 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 17.999754
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.039655
  EX_pi_e : 1.164361
  EX_so4_e : 0.145089
  EX_k_e : 0.112463
  EX_fe2_e : 0.009254
  EX_mg2_e : 0.004998
  EX_ca2_e : 0.002999
  EX_cl_e : 0.002999
  EX_cu2_e : 0.000408
  EX_mn2_e : 0.000398
  EX_zn2_e : 0.000196
  EX_ni2_e : 0.000186
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 41.347597
  EX_co2_e : 21.967568
  EX_h_e : 7.008498
  EX_succ_e : 0.600816
  EX_ura_e : 0.408583
  Auxiliary production reaction : 0.304296
  DM_5drib_c : 0.000130
  DM_4crsol_c : 0.000128

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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