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 : pe180_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (79 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b1855 b2744 b3614 b0910 b4152 b2781 b3844 b1612 b1611 b4122 b1759 b4374 b0675 b4138 b4123 b0621 b0153 b4381 b2406 b0452 b3035 b2197 b3918 b1912 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.544165 (mmol/gDw/h)
  Minimum Production Rate : 0.287310 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 16.888436
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.936037
  EX_pi_e : 0.812216
  EX_so4_e : 0.137032
  EX_k_e : 0.106217
  EX_fe2_e : 0.008740
  EX_mg2_e : 0.004721
  EX_ca2_e : 0.002832
  EX_cl_e : 0.002832
  EX_cu2_e : 0.000386
  EX_mn2_e : 0.000376
  EX_zn2_e : 0.000186
  EX_ni2_e : 0.000176
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 39.800159
  EX_co2_e : 22.071407
  EX_h_e : 6.619387
  EX_succ_e : 0.567451
  EX_ura_e : 0.385894
  Auxiliary production reaction : 0.287310
  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.

Last updated: 21-Sep-2023
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