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 : ins_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (22 of 37: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b4382 b4384 b3708 b3008 b0871 b2925 b2097 b0030 b2407 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b2440 b3665 b0411 b2406 b0114 b1539 b2492 b0904 b1533 b3927 b1511   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.782810 (mmol/gDw/h)
  Minimum Production Rate : 0.146553 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.105028
  EX_o2_e : 274.639829
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.143909
  EX_pi_e : 0.755103
  EX_so4_e : 0.197127
  EX_k_e : 0.152799
  EX_mg2_e : 0.006791
  EX_ca2_e : 0.004075
  EX_cl_e : 0.004075
  EX_cu2_e : 0.000555
  EX_mn2_e : 0.000541
  EX_zn2_e : 0.000267
  EX_ni2_e : 0.000253
  EX_cobalt2_e : 0.000020

Product: (mmol/gDw/h)
  EX_fe3_e : 999.987427
  EX_h2o_e : 548.233331
  EX_co2_e : 25.895411
  Auxiliary production reaction : 0.146553
  EX_acser_e : 0.100788
  EX_ade_e : 0.000527
  DM_mththf_c : 0.000351
  DM_5drib_c : 0.000176
  DM_4crsol_c : 0.000175

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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