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 : 4fe4s_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (11 of 16: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4269 b0493 b3588 b3003 b3011 b1241 b0351 b4384 b3708 b3008 b0871 b2779 b0030 b2407 b1982 b2797 b3117 b1814 b4471 b0114 b2366 b2492 b0904 b1533 b1518   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.711705 (mmol/gDw/h)
  Minimum Production Rate : 0.061419 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.326300
  EX_o2_e : 278.742463
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.686355
  EX_pi_e : 0.686515
  EX_so4_e : 0.424899
  EX_k_e : 0.138920
  EX_mg2_e : 0.006174
  EX_ca2_e : 0.003704
  EX_cl_e : 0.003704
  EX_cu2_e : 0.000505
  EX_mn2_e : 0.000492
  EX_zn2_e : 0.000243
  EX_ni2_e : 0.000230
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_fe3_e : 999.742892
  EX_h2o_e : 549.513210
  EX_co2_e : 30.786180
  Auxiliary production reaction : 0.061419
  DM_mththf_c : 0.000319
  DM_5drib_c : 0.000160
  DM_4crsol_c : 0.000159

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
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