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 : adprib_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (54 of 97: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3399 b4069 b2502 b2744 b3708 b3008 b3115 b1849 b2296 b1779 b1982 b2797 b3117 b1814 b4471 b4374 b0675 b2361 b2291 b0261 b0452 b0114 b0529 b1539 b2492 b0904 b1533 b3927 b0221   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.638544 (mmol/gDw/h)
  Minimum Production Rate : 0.270486 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 28.301877
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.248654
  EX_pi_e : 1.156915
  EX_so4_e : 0.160798
  EX_k_e : 0.124639
  EX_fe2_e : 0.010256
  EX_mg2_e : 0.005539
  EX_ca2_e : 0.003324
  EX_cl_e : 0.003324
  EX_cu2_e : 0.000453
  EX_mn2_e : 0.000441
  EX_zn2_e : 0.000218
  EX_ni2_e : 0.000206
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 49.637465
  EX_co2_e : 28.988472
  EX_h_e : 7.050410
  EX_ac_e : 0.371752
  Auxiliary production reaction : 0.270486
  DM_5drib_c : 0.000428
  DM_4crsol_c : 0.000142

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