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 : pg120_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (90 of 99: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 30
  Gene deletion: b3916 b2836 b3399 b2744 b1278 b3614 b0910 b4152 b2781 b1850 b3844 b1612 b1611 b4122 b1759 b3946 b0825 b4374 b0675 b2361 b2291 b4138 b4123 b0621 b0153 b0584 b1723 b2197 b3918 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.555292 (mmol/gDw/h)
  Minimum Production Rate : 0.293230 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.236391
  EX_o2_e : 270.987005
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.784674
  EX_pi_e : 0.828868
  EX_so4_e : 0.139834
  EX_k_e : 0.108389
  EX_mg2_e : 0.004817
  EX_cl_e : 0.002890
  EX_ca2_e : 0.002890
  EX_cu2_e : 0.000394
  EX_mn2_e : 0.000384
  EX_zn2_e : 0.000189
  EX_ni2_e : 0.000179
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991081
  EX_h2o_e : 542.313266
  EX_co2_e : 24.519565
  EX_succ_e : 0.579054
  EX_ura_e : 0.393784
  Auxiliary production reaction : 0.293230
  DM_5drib_c : 0.000125
  DM_4crsol_c : 0.000124

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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