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 : lald__D_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (34 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4467 b1478 b1241 b4069 b2930 b4232 b3697 b3925 b2297 b2458 b1004 b3713 b1109 b0046 b3236 b1779 b2690 b1602 b2975 b3603 b2492 b0904 b1380 b2660 b1771 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.466406 (mmol/gDw/h)
  Minimum Production Rate : 1.348420 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.435448
  EX_o2_e : 283.003178
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.037147
  EX_pi_e : 0.449898
  EX_so4_e : 0.117450
  EX_k_e : 0.091039
  EX_mg2_e : 0.004046
  EX_cl_e : 0.002428
  EX_ca2_e : 0.002428
  EX_cu2_e : 0.000331
  EX_mn2_e : 0.000322
  EX_zn2_e : 0.000159
  EX_ni2_e : 0.000151
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992509
  EX_h2o_e : 547.214941
  EX_co2_e : 34.902190
  Auxiliary production reaction : 1.803637
  EX_ac_e : 0.271535
  DM_5drib_c : 0.000105
  DM_4crsol_c : 0.000104

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