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 : pgp181_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (65 of 76: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4382 b3831 b4384 b3614 b0910 b4152 b2781 b0030 b3844 b1612 b1611 b4122 b0651 b2162 b1759 b4138 b4123 b0621 b2406 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 : 0.543568 (mmol/gDw/h)
  Minimum Production Rate : 0.286122 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.378277
  EX_o2_e : 266.984220
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.641427
  EX_pi_e : 1.096573
  EX_so4_e : 0.136881
  EX_k_e : 0.106101
  EX_mg2_e : 0.004715
  EX_ca2_e : 0.002829
  EX_cl_e : 0.002829
  EX_cu2_e : 0.000385
  EX_mn2_e : 0.000376
  EX_zn2_e : 0.000185
  EX_ni2_e : 0.000176
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991270
  EX_h2o_e : 540.137267
  EX_co2_e : 21.862720
  EX_succ_e : 0.566828
  EX_ura_e : 0.385470
  Auxiliary production reaction : 0.286122
  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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