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 : idp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (78 of 78: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 46
  Gene deletion: b4467 b1478 b3399 b1241 b4069 b4384 b2744 b3708 b0910 b3752 b2297 b2458 b2926 b3844 b1004 b3713 b1109 b0046 b3236 b1982 b2797 b3117 b1814 b4471 b1623 b4374 b0675 b2799 b3945 b1602 b0153 b2913 b4381 b0590 b2406 b1539 b2492 b0904 b1533 b1380 b1511 b4141 b1798 b0606 b2285 b1011   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.454562 (mmol/gDw/h)
  Minimum Production Rate : 0.298970 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 36.650903
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.294678
  EX_pi_e : 1.036414
  EX_so4_e : 0.114468
  EX_k_e : 0.088727
  EX_fe2_e : 0.007301
  EX_mg2_e : 0.003943
  EX_ca2_e : 0.002366
  EX_cl_e : 0.002366
  EX_cu2_e : 0.000322
  EX_mn2_e : 0.000314
  EX_zn2_e : 0.000155
  EX_ni2_e : 0.000147
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 52.613466
  EX_co2_e : 36.560383
  EX_h_e : 5.952324
  EX_glyclt_e : 0.424511
  Auxiliary production reaction : 0.298970
  EX_ac_e : 0.264640
  EX_thym_e : 0.070383
  EX_hxan_e : 0.012200
  DM_mththf_c : 0.000204
  DM_5drib_c : 0.000102
  DM_4crsol_c : 0.000101

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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