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 : frdp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (82 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: b3553 b1478 b0238 b0125 b1241 b4069 b4384 b3115 b1849 b2296 b2779 b1004 b3713 b1109 b0046 b3236 b0207 b3012 b0477 b1033 b2799 b1602 b3915 b0452 b2492 b0904 b1781 b3001 b1380 b0325 b0723 b2660 b1771 b1511 b0606 b2285 b1010 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.484273 (mmol/gDw/h)
  Minimum Production Rate : 0.111069 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.371657
  EX_o2_e : 286.189995
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.230112
  EX_pi_e : 0.689271
  EX_so4_e : 0.121950
  EX_k_e : 0.094527
  EX_mg2_e : 0.004201
  EX_ca2_e : 0.002521
  EX_cl_e : 0.002521
  EX_cu2_e : 0.000343
  EX_mn2_e : 0.000335
  EX_zn2_e : 0.000165
  EX_ni2_e : 0.000156
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992222
  EX_h2o_e : 551.120514
  EX_co2_e : 37.891804
  EX_ac_e : 0.281937
  Auxiliary production reaction : 0.111069
  EX_mththf_e : 0.000217
  DM_5drib_c : 0.000109
  DM_4crsol_c : 0.000108

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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