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 (129 of 174: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: YDL168W YMR303C YBR068C YDR046C YBR069C YPL061W YGR087C YLR044C YLR134W YDR380W YDL080C YKL192C YPL148C YMR289W YCL025C YKR039W YOL020W YOR120W YOL059W YGR191W YJR078W YJL121C YLR348C YLR017W YML120C YDR402C YLR328W   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.111912 (mmol/gDw/h)
  Minimum Production Rate : 0.106865 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 10.000000
  EX_o2_e : 2.000000
  EX_nh4_e : 1.209665
  EX_pi_e : 0.248681
  EX_so4_e : 0.008651

Product: (mmol/gDw/h)
  EX_h_e : 22.601973
  EX_h2o_e : 13.387565
  EX_succ_e : 7.070602
  EX_3c3hmp_e : 3.484872
  EX_pyr_e : 0.451011
  EX_gly_e : 0.230695
  EX_etoh_e : 0.230114
  Auxiliary production reaction : 0.106865
  EX_pap_e : 0.006413
  EX_for_e : 0.000579

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
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