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 : histd_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 75: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b3708 b0910 b3752 b2297 b2458 b2407 b1779 b1982 b2797 b3117 b1814 b4471 b3616 b3589 b0261 b2406 b0112 b0114 b1539 b2492 b0904 b1533 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.524496 (mmol/gDw/h)
  Minimum Production Rate : 1.569490 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 25.518418
  EX_nh4_e : 10.372978
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.505932
  EX_so4_e : 0.132078
  EX_k_e : 0.102378
  EX_fe2_e : 0.008424
  EX_mg2_e : 0.004550
  EX_cl_e : 0.002730
  EX_ca2_e : 0.002730
  EX_cu2_e : 0.000372
  EX_mn2_e : 0.000362
  EX_zn2_e : 0.000179
  EX_ni2_e : 0.000169
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 48.335748
  EX_co2_e : 26.637819
  EX_h_e : 9.166223
  Auxiliary production reaction : 1.569490
  EX_ac_e : 1.207968
  DM_5drib_c : 0.000352
  DM_4crsol_c : 0.000117

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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