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 : malcoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (38 of 86: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 40
  Gene deletion: b3553 b3399 b1241 b0351 b4069 b2744 b3708 b2297 b2458 b3617 b0160 b1982 b2797 b3117 b1814 b4471 b1033 b4374 b0675 b2361 b2291 b0261 b3709 b2239 b3161 b0112 b3453 b0452 b0114 b0509 b3125 b2366 b2492 b0904 b0591 b1533 b2835 b1473 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.435572 (mmol/gDw/h)
  Minimum Production Rate : 0.651680 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 19.633486
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.266423
  EX_pi_e : 2.375232
  EX_so4_e : 0.761366
  EX_k_e : 0.085021
  EX_fe2_e : 0.006996
  EX_mg2_e : 0.003779
  EX_ca2_e : 0.002267
  EX_cl_e : 0.002267
  EX_cu2_e : 0.000309
  EX_mn2_e : 0.000301
  EX_zn2_e : 0.000149
  EX_ni2_e : 0.000141
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 45.750804
  EX_co2_e : 20.562260
  EX_h_e : 9.568403
  EX_ac_e : 2.958244
  Auxiliary production reaction : 0.651680
  DM_oxam_c : 0.000487
  DM_5drib_c : 0.000292
  EX_glyclt_e : 0.000291
  DM_4crsol_c : 0.000097
  EX_g3pe_e : 0.000035

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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