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 : 25aics_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b4382 b4384 b3708 b3008 b3752 b0871 b2407 b3236 b0120 b1982 b2797 b3117 b1814 b4471 b0261 b3709 b2406 b3161 b0112 b0114 b0886 b2366 b2492 b0904 b3035 b2578 b1533 b3927 b3825 b0494 b0516 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.759340 (mmol/gDw/h)
  Minimum Production Rate : 0.258271 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 24.594978
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.245753
  EX_pi_e : 0.990735
  EX_so4_e : 0.191217
  EX_k_e : 0.148218
  EX_fe2_e : 0.012196
  EX_mg2_e : 0.006587
  EX_cl_e : 0.003952
  EX_ca2_e : 0.003952
  EX_cu2_e : 0.000538
  EX_mn2_e : 0.000525
  EX_zn2_e : 0.000259
  EX_ni2_e : 0.000245
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 48.356272
  EX_co2_e : 25.436118
  EX_h_e : 8.538605
  Auxiliary production reaction : 0.258271
  EX_alltn_e : 0.002964
  DM_5drib_c : 0.002624
  DM_4crsol_c : 0.002284

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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