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 : hemeO_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (46 of 98: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3831 b2744 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4374 b2361 b2291 b1701 b1805 b4138 b4123 b0621 b2406 b3918 b1912 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.722373 (mmol/gDw/h)
  Minimum Production Rate : 0.063586 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.629080
  EX_o2_e : 271.629481
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.698933
  EX_pi_e : 0.696805
  EX_so4_e : 0.181908
  EX_k_e : 0.141002
  EX_mg2_e : 0.006267
  EX_ca2_e : 0.003760
  EX_cl_e : 0.003760
  EX_cu2_e : 0.000512
  EX_mn2_e : 0.000499
  EX_zn2_e : 0.000246
  EX_ni2_e : 0.000233
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_fe3_e : 999.924812
  EX_h2o_e : 545.923772
  EX_co2_e : 22.934998
  EX_succ_e : 0.753285
  EX_ura_e : 0.321511
  Auxiliary production reaction : 0.063586
  DM_5drib_c : 0.000163
  DM_4crsol_c : 0.000161

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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