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 : 6hmhptpp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (32 of 95: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0871 b3617 b0160 b0517 b1982 b0675 b2361 b2291 b0261 b0507 b4381 b0112 b0114 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.547819 (mmol/gDw/h)
  Minimum Production Rate : 0.432730 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 21.589310
  EX_nh4_e : 10.778696
  EX_glc__D_e : 10.000000
  EX_pi_e : 1.393889
  EX_so4_e : 0.137952
  EX_k_e : 0.106930
  EX_fe2_e : 0.008799
  EX_mg2_e : 0.004752
  EX_cl_e : 0.002851
  EX_ca2_e : 0.002851
  EX_cu2_e : 0.000388
  EX_mn2_e : 0.000379
  EX_zn2_e : 0.000187
  EX_ni2_e : 0.000177
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 48.752801
  EX_co2_e : 21.000776
  EX_h_e : 9.463148
  EX_thymd_e : 1.348099
  Auxiliary production reaction : 0.432730
  EX_alltn_e : 0.000613
  DM_5drib_c : 0.000368
  DM_4crsol_c : 0.000122

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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