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 : nadphx__R_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (63 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 39
  Gene deletion: b3553 b3399 b4269 b0493 b3588 b3003 b3011 b2502 b2744 b0871 b3844 b1004 b3713 b1109 b0046 b3236 b1779 b1982 b1033 b0675 b2361 b2291 b0261 b2799 b3945 b1602 b2913 b4381 b3915 b1727 b0114 b0529 b2492 b0904 b3927 b1380 b0606 b2285 b1010   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.413470 (mmol/gDw/h)
  Minimum Production Rate : 0.277655 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 35.502414
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.411343
  EX_pi_e : 1.231801
  EX_so4_e : 0.104120
  EX_k_e : 0.080707
  EX_fe3_e : 0.006641
  EX_mg2_e : 0.003587
  EX_ca2_e : 0.002152
  EX_cl_e : 0.002152
  EX_cu2_e : 0.000293
  EX_mn2_e : 0.000286
  EX_zn2_e : 0.000141
  EX_ni2_e : 0.000134
  EX_cobalt2_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 52.164242
  EX_co2_e : 36.192467
  EX_h_e : 5.196360
  EX_etoh_e : 0.501241
  Auxiliary production reaction : 0.277655
  EX_ade_e : 0.000463
  DM_5drib_c : 0.000277
  DM_4crsol_c : 0.000092

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
Contact