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 : dhmptp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (43 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b2836 b3399 b4069 b2502 b2744 b3708 b3008 b2297 b2458 b1982 b2688 b2797 b3117 b1814 b4471 b0596 b4374 b0675 b2361 b2291 b0261 b0114 b2366 b2492 b0904 b2578 b1533 b3927 b0221   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.721533 (mmol/gDw/h)
  Minimum Production Rate : 0.458459 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 25.022722
  EX_nh4_e : 10.084794
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.071373
  EX_so4_e : 0.181696
  EX_k_e : 0.140838
  EX_fe2_e : 0.011589
  EX_mg2_e : 0.006259
  EX_ca2_e : 0.003756
  EX_cl_e : 0.003756
  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_h2o_e : 50.430169
  EX_co2_e : 25.416501
  EX_h_e : 8.425179
  Auxiliary production reaction : 0.458459
  EX_ac_e : 0.420067
  DM_5drib_c : 0.000484
  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.

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Last updated: 21-Sep-2023
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