MetNetComp Database [1] / Minimal gene deletions Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iMM904 [2].
Target metabolite : cdp_n
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 174: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: YBR068C YMR083W YDR046C YBR069C YGR087C YLR044C YLR134W YDR380W YMR009W YKL192C YPL148C YBR291C YCL025C YKR039W YOL020W YOR120W YOL059W YGR191W YBR166C YJR078W YJL121C YLR348C YML120C YHR074W YEL046C   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.132502 (mmol/gDw/h)
  Minimum Production Rate : 0.150795 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_glc__D_e : 10.000000
  EX_o2_e : 2.000000
  EX_nh4_e : 1.232578
  EX_pi_e : 0.342970
  EX_so4_e : 0.010242

Product: (mmol/gDw/h)
  EX_h_e : 20.389496
  EX_h2o_e : 13.942199
  EX_succ_e : 6.675830
  EX_pyr_e : 6.030390
  EX_iamoh_e : 1.494123
  EX_2mbtoh_e : 0.307472
  Auxiliary production reaction : 0.150795
  EX_pap_e : 0.007592
  EX_gly_e : 0.000688
  EX_for_e : 0.000685

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: 27-Sep-2023
Contact