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 : gsn_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (35 of 49: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b3708 b3008 b3752 b3115 b1849 b2296 b2407 b1982 b2797 b3117 b1814 b4471 b3665 b0411 b2406 b0452 b0114 b2366 b2492 b0904 b1533 b3927 b1518   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.747005 (mmol/gDw/h)
  Minimum Production Rate : 0.316794 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.102720
  EX_o2_e : 274.651218
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.654077
  EX_pi_e : 0.720566
  EX_so4_e : 0.188111
  EX_k_e : 0.145810
  EX_mg2_e : 0.006480
  EX_ca2_e : 0.003888
  EX_cl_e : 0.003888
  EX_cu2_e : 0.000530
  EX_mn2_e : 0.000516
  EX_zn2_e : 0.000255
  EX_ni2_e : 0.000241
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_fe3_e : 999.988002
  EX_h2o_e : 548.506811
  EX_co2_e : 25.296703
  EX_ac_e : 0.435016
  EX_gsn_e : 0.316794
  EX_ade_e : 0.000503
  DM_mththf_c : 0.000335
  DM_5drib_c : 0.000168
  DM_4crsol_c : 0.000167

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