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 : 2p4c2me_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (73 of 116: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b3399 b2744 b3614 b0910 b4152 b2926 b2781 b1612 b1611 b4122 b1759 b4374 b0675 b2361 b2291 b4138 b4123 b0621 b0114 b3918 b0789 b1249 b1206 b3893 b1474   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.607664 (mmol/gDw/h)
  Minimum Production Rate : 0.320886 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.598481
  EX_o2_e : 276.934071
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.745457
  EX_pi_e : 1.548814
  EX_so4_e : 0.153022
  EX_k_e : 0.118612
  EX_mg2_e : 0.005271
  EX_cl_e : 0.003163
  EX_ca2_e : 0.003163
  EX_cu2_e : 0.000431
  EX_mn2_e : 0.000420
  EX_zn2_e : 0.000207
  EX_ni2_e : 0.000196
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990240
  EX_h2o_e : 548.025518
  EX_co2_e : 27.590946
  EX_succ_e : 0.633668
  Auxiliary production reaction : 0.320886
  EX_ura_e : 0.110038
  DM_5drib_c : 0.000137
  DM_4crsol_c : 0.000136

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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