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 : dcamp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (55 of 77: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b4467 b1478 b1241 b4069 b4384 b3115 b1849 b2296 b2926 b0030 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b1982 b0261 b0411 b2799 b3945 b1602 b2913 b4381 b4064 b4464 b0529 b2492 b0904 b1380 b0606 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.374524 (mmol/gDw/h)
  Minimum Production Rate : 0.589040 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 35.332421
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.992116
  EX_pi_e : 0.950307
  EX_so4_e : 0.094313
  EX_k_e : 0.073104
  EX_fe2_e : 0.006015
  EX_mg2_e : 0.003249
  EX_ca2_e : 0.001949
  EX_cl_e : 0.001949
  EX_cu2_e : 0.000266
  EX_mn2_e : 0.000259
  EX_zn2_e : 0.000128
  EX_ni2_e : 0.000121

Product: (mmol/gDw/h)
  EX_h2o_e : 51.585637
  EX_co2_e : 33.444759
  EX_h_e : 9.033287
  EX_glyclt_e : 1.248600
  Auxiliary production reaction : 0.589040
  EX_ac_e : 0.218042
  EX_ade_e : 0.000419
  DM_5drib_c : 0.000251
  DM_4crsol_c : 0.000084

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
Contact