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 : dtdp4aaddg_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (57 of 72: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3831 b2744 b1278 b3614 b0910 b3752 b4152 b2781 b1612 b1611 b4122 b1759 b4374 b2361 b2291 b0411 b4138 b4123 b0621 b3453 b0452 b2197 b3825 b3918 b2240 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.683354 (mmol/gDw/h)
  Minimum Production Rate : 0.360855 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 21.194162
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.710213
  EX_pi_e : 1.380931
  EX_so4_e : 0.172082
  EX_k_e : 0.133386
  EX_fe2_e : 0.010975
  EX_mg2_e : 0.005928
  EX_ca2_e : 0.003557
  EX_cl_e : 0.003557
  EX_cu2_e : 0.000484
  EX_mn2_e : 0.000472
  EX_zn2_e : 0.000233
  EX_ni2_e : 0.000221
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_h2o_e : 45.456762
  EX_co2_e : 22.110566
  EX_h_e : 8.312460
  EX_succ_e : 0.712596
  Auxiliary production reaction : 0.360855
  EX_ura_e : 0.123744
  DM_5drib_c : 0.000154
  DM_4crsol_c : 0.000152
  EX_glyc3p_e : 0.000055

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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