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 : lald__D_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (3 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3553 b1241 b0351 b0871 b2925 b2097 b1004 b3713 b1109 b0046 b3236 b1779 b2690 b1033 b1602 b4381 b1727 b2492 b0904 b1380 b2660 b1771 b0606 b2285 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.489242 (mmol/gDw/h)
  Minimum Production Rate : 1.209653 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.496789
  EX_o2_e : 284.639049
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.283775
  EX_pi_e : 0.471926
  EX_so4_e : 0.123201
  EX_k_e : 0.095497
  EX_mg2_e : 0.004244
  EX_cl_e : 0.002547
  EX_ca2_e : 0.002547
  EX_cu2_e : 0.000347
  EX_mn2_e : 0.000338
  EX_zn2_e : 0.000167
  EX_ni2_e : 0.000158
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992142
  EX_h2o_e : 549.205500
  EX_co2_e : 36.289893
  Auxiliary production reaction : 1.209653
  DM_5drib_c : 0.000110
  DM_4crsol_c : 0.000109

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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