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 : rhcys_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (10 of 41: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: b2836 b3399 b4069 b2502 b2744 b3708 b3008 b2297 b2458 b2779 b2687 b1982 b2797 b3117 b1814 b4471 b0675 b2361 b4381 b2406 b0114 b1539 b2492 b0904 b1533 b3927 b0494   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.654358 (mmol/gDw/h)
  Minimum Production Rate : 0.195340 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 28.442270
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.262348
  EX_pi_e : 0.631197
  EX_so4_e : 0.360120
  EX_k_e : 0.127726
  EX_fe2_e : 0.010510
  EX_mg2_e : 0.005677
  EX_ca2_e : 0.003406
  EX_cl_e : 0.003406
  EX_cu2_e : 0.000464
  EX_mn2_e : 0.000452
  EX_zn2_e : 0.000223
  EX_ni2_e : 0.000211
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 48.095306
  EX_co2_e : 30.229509
  EX_h_e : 6.393458
  EX_ac_e : 0.576298
  Auxiliary production reaction : 0.195340
  DM_5drib_c : 0.000439
  DM_4crsol_c : 0.000146

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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