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 : acetol_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (50 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b4467 b1478 b4269 b0493 b3588 b3003 b3011 b1241 b0871 b2779 b3844 b1004 b3713 b1109 b0046 b3236 b0937 b0261 b3945 b1602 b4381 b0529 b2492 b0904 b1380 b2660 b0606 b2285 b1009   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.478562 (mmol/gDw/h)
  Minimum Production Rate : 1.602856 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.595095
  EX_o2_e : 283.724047
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.168429
  EX_pi_e : 0.461624
  EX_so4_e : 0.120511
  EX_k_e : 0.093412
  EX_mg2_e : 0.004152
  EX_ca2_e : 0.002491
  EX_cl_e : 0.002491
  EX_cu2_e : 0.000339
  EX_mn2_e : 0.000331
  EX_zn2_e : 0.000163
  EX_ni2_e : 0.000155
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992314
  EX_h2o_e : 548.182315
  EX_co2_e : 35.548658
  Auxiliary production reaction : 1.602856
  DM_5drib_c : 0.000108
  DM_4crsol_c : 0.000107

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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