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 : nac_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (56 of 78: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b0474 b2518 b1241 b0351 b3831 b0910 b3752 b4152 b0871 b2297 b2458 b2925 b2097 b2926 b3236 b1612 b1611 b4122 b3946 b2210 b0825 b0614 b4388 b4138 b4123 b0621 b0452 b1539 b1206 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.448549 (mmol/gDw/h)
  Minimum Production Rate : 0.236899 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.936075
  EX_o2_e : 281.348999
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.243571
  EX_pi_e : 0.432673
  EX_so4_e : 0.112954
  EX_k_e : 0.087554
  EX_mg2_e : 0.003891
  EX_ca2_e : 0.002335
  EX_cl_e : 0.002335
  EX_cu2_e : 0.000318
  EX_mn2_e : 0.000310
  EX_zn2_e : 0.000153
  EX_ni2_e : 0.000145
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992796
  EX_h2o_e : 546.322575
  EX_co2_e : 31.244772
  EX_succ_e : 1.646018
  EX_ac_e : 1.007057
  Auxiliary production reaction : 0.236899
  EX_ura_e : 0.081189
  DM_5drib_c : 0.000101
  DM_4crsol_c : 0.000100

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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