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 : pg181_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (60 of 71: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b0474 b2518 b3831 b2744 b3752 b4152 b2781 b3844 b1612 b1611 b4122 b1759 b4374 b4161 b2361 b2291 b0411 b4138 b4123 b0621 b3915 b0452 b2197 b3918 b4042 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.542271 (mmol/gDw/h)
  Minimum Production Rate : 0.285440 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.394070
  EX_o2_e : 267.086811
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.625587
  EX_pi_e : 0.808518
  EX_so4_e : 0.136555
  EX_k_e : 0.105848
  EX_mg2_e : 0.004704
  EX_cl_e : 0.002823
  EX_ca2_e : 0.002823
  EX_cu2_e : 0.000384
  EX_mn2_e : 0.000375
  EX_zn2_e : 0.000185
  EX_ni2_e : 0.000175
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991291
  EX_h2o_e : 539.899200
  EX_co2_e : 21.953676
  EX_succ_e : 0.565476
  EX_ura_e : 0.384551
  Auxiliary production reaction : 0.285440
  DM_5drib_c : 0.000122
  DM_4crsol_c : 0.000121

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.

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Last updated: 21-Sep-2023
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