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 : ahcys_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (1 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4382 b4069 b4384 b3708 b3008 b3752 b2297 b2458 b2407 b2687 b1982 b2797 b3117 b1814 b4471 b2406 b0114 b1539 b2492 b0904 b2578 b1533 b3927 b3821 b2413 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.727377 (mmol/gDw/h)
  Minimum Production Rate : 0.231412 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.724362
  EX_o2_e : 274.153765
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.244078
  EX_pi_e : 0.701632
  EX_so4_e : 0.414580
  EX_k_e : 0.141979
  EX_mg2_e : 0.006310
  EX_cl_e : 0.003786
  EX_ca2_e : 0.003786
  EX_cu2_e : 0.000516
  EX_mn2_e : 0.000503
  EX_zn2_e : 0.000248
  EX_ni2_e : 0.000235
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_fe3_e : 999.988318
  EX_h2o_e : 548.035312
  EX_co2_e : 25.593379
  EX_ac_e : 0.654880
  Auxiliary production reaction : 0.231412
  DM_5drib_c : 0.000488
  DM_4crsol_c : 0.000162

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