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 : aconm_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (81 of 99: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b3553 b4382 b4069 b4384 b3752 b3115 b1849 b2296 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b1779 b1982 b1033 b0261 b0411 b1602 b2913 b3915 b1727 b0114 b0529 b2492 b0904 b1380 b1771 b0606 b2285 b1009   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.437844 (mmol/gDw/h)
  Minimum Production Rate : 0.151546 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.803737
  EX_o2_e : 285.009539
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.336824
  EX_pi_e : 0.422347
  EX_so4_e : 0.110258
  EX_k_e : 0.085464
  EX_mg2_e : 0.003798
  EX_ca2_e : 0.002279
  EX_cl_e : 0.002279
  EX_cu2_e : 0.000310
  EX_mn2_e : 0.000303
  EX_zn2_e : 0.000149
  EX_ni2_e : 0.000141
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992968
  EX_h2o_e : 548.795826
  EX_co2_e : 36.484774
  EX_12ppd__R_e : 1.070648
  EX_ac_e : 0.254907
  EX_hxan_e : 0.152036
  Auxiliary production reaction : 0.151546
  DM_5drib_c : 0.000294
  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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