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 : udpLa4fn_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (72 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b2744 b3614 b0910 b4152 b3115 b1849 b2296 b2925 b2097 b2926 b2781 b1612 b1611 b4122 b0907 b1759 b3449 b3946 b0825 b4374 b0675 b4138 b4123 b0621 b4381 b2406 b0529 b2197 b3918 b1912 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.594768 (mmol/gDw/h)
  Minimum Production Rate : 0.314124 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.869334
  EX_o2_e : 276.154804
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.581126
  EX_pi_e : 1.201965
  EX_so4_e : 0.149775
  EX_k_e : 0.116095
  EX_mg2_e : 0.005160
  EX_ca2_e : 0.003096
  EX_cl_e : 0.003096
  EX_cu2_e : 0.000422
  EX_mn2_e : 0.000411
  EX_zn2_e : 0.000203
  EX_ni2_e : 0.000192
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990447
  EX_h2o_e : 546.776863
  EX_co2_e : 26.191597
  EX_succ_e : 0.890224
  EX_ac_e : 0.346266
  Auxiliary production reaction : 0.314124
  EX_ura_e : 0.107655
  DM_5drib_c : 0.000134
  DM_4crsol_c : 0.000133

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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