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 : adn_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (53 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4384 b2744 b3708 b3008 b2930 b4232 b3697 b3925 b0871 b0030 b2407 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b0261 b4381 b0452 b0114 b1539 b2492 b0904 b1533 b3927 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.774848 (mmol/gDw/h)
  Minimum Production Rate : 0.093091 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.146839
  EX_o2_e : 274.696269
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.088528
  EX_pi_e : 0.747423
  EX_so4_e : 0.195122
  EX_k_e : 0.151245
  EX_mg2_e : 0.006722
  EX_ca2_e : 0.004033
  EX_cl_e : 0.004033
  EX_cu2_e : 0.000549
  EX_mn2_e : 0.000535
  EX_zn2_e : 0.000264
  EX_ni2_e : 0.000250
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_fe3_e : 999.987555
  EX_h2o_e : 547.981039
  EX_co2_e : 25.992107
  EX_acser_e : 0.253916
  EX_adn_e : 0.093091
  DM_oxam_c : 0.000867
  DM_5drib_c : 0.000520
  DM_4crsol_c : 0.000173

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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