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 : glyc_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4467 b3846 b2341 b1241 b0351 b3926 b0871 b2925 b2097 b1004 b3713 b1109 b0046 b3236 b2690 b1302 b2662 b4015 b0726 b3945 b1602 b1380 b2660 b0606 b2285 b3893 b1474 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.439728 (mmol/gDw/h)
  Minimum Production Rate : 2.548181 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.700567
  EX_o2_e : 278.140454
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.749022
  EX_pi_e : 0.424164
  EX_so4_e : 0.110732
  EX_k_e : 0.085832
  EX_mg2_e : 0.003815
  EX_ca2_e : 0.002289
  EX_cl_e : 0.002289
  EX_cu2_e : 0.000312
  EX_mn2_e : 0.000304
  EX_zn2_e : 0.000150
  EX_ni2_e : 0.000142
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992938
  EX_h2o_e : 537.897647
  EX_co2_e : 28.837366
  EX_for_e : 3.034664
  EX_glyc_e : 2.548181
  EX_ac_e : 1.217313
  DM_5drib_c : 0.000099
  DM_4crsol_c : 0.000098

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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