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 : mnl1p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (22 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: b4467 b1478 b4269 b0493 b3588 b3003 b3011 b1241 b0871 b2779 b1004 b3713 b1109 b0046 b3236 b4015 b2799 b3945 b1602 b2342 b3845 b2913 b4381 b3915 b2492 b0904 b1380 b1518 b0606 b2285 b1007 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.490535 (mmol/gDw/h)
  Minimum Production Rate : 0.363539 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 995.484885
  EX_o2_e : 286.453113
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.297740
  EX_pi_e : 0.836678
  EX_so4_e : 0.123528
  EX_k_e : 0.095749
  EX_mg2_e : 0.004255
  EX_ca2_e : 0.002553
  EX_cl_e : 0.002553
  EX_cu2_e : 0.000348
  EX_mn2_e : 0.000339
  EX_zn2_e : 0.000167
  EX_ni2_e : 0.000158
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992120
  EX_h2o_e : 550.633392
  EX_co2_e : 37.683650
  Auxiliary production reaction : 0.363505
  DM_mththf_c : 0.000220
  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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