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 : 6hmhpt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (38 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3399 b1241 b0351 b4069 b2744 b2297 b2458 b3617 b0160 b3124 b1982 b4374 b0675 b2361 b2291 b0261 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904 b0514   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.450340 (mmol/gDw/h)
  Minimum Production Rate : 1.726128 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.563261
  EX_nh4_e : 13.494776
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.434400
  EX_so4_e : 0.113405
  EX_k_e : 0.087903
  EX_fe2_e : 0.007233
  EX_mg2_e : 0.003907
  EX_ca2_e : 0.002344
  EX_cl_e : 0.002344
  EX_cu2_e : 0.000319
  EX_mn2_e : 0.000311
  EX_zn2_e : 0.000154
  EX_ni2_e : 0.000145
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 50.362837
  EX_co2_e : 21.208319
  EX_h_e : 16.880747
  EX_ac_e : 4.111197
  Auxiliary production reaction : 1.726128
  DM_oxam_c : 0.000504
  DM_5drib_c : 0.000302
  DM_4crsol_c : 0.000100

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.

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Last updated: 21-Sep-2023
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