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 : hxan_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (48 of 74: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4467 b4069 b3926 b3115 b1849 b2296 b1004 b3713 b1109 b0046 b3236 b0261 b1602 b2913 b4381 b2868 b4064 b4464 b0114 b0529 b2492 b0904 b1380 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.489496 (mmol/gDw/h)
  Minimum Production Rate : 0.213309 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.303358
  EX_o2_e : 287.725796
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.192634
  EX_pi_e : 0.472171
  EX_so4_e : 0.123265
  EX_k_e : 0.095546
  EX_mg2_e : 0.004246
  EX_cl_e : 0.002548
  EX_ca2_e : 0.002548
  EX_cu2_e : 0.000347
  EX_mn2_e : 0.000338
  EX_zn2_e : 0.000167
  EX_ni2_e : 0.000158
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992138
  EX_h2o_e : 553.166900
  EX_co2_e : 38.206239
  EX_ac_e : 0.284978
  Auxiliary production reaction : 0.226117
  EX_ade_e : 0.000329
  DM_5drib_c : 0.000110
  DM_4crsol_c : 0.000109

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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