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 : udpglcur_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (58 of 75: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b0474 b2518 b3831 b2744 b1278 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4374 b4161 b2361 b2291 b4138 b4123 b0621 b2406 b2197 b3821 b3918 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.711705 (mmol/gDw/h)
  Minimum Production Rate : 0.375883 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.331295
  EX_o2_e : 271.647976
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.695761
  EX_pi_e : 1.438282
  EX_so4_e : 0.179222
  EX_k_e : 0.138920
  EX_mg2_e : 0.006174
  EX_cl_e : 0.003704
  EX_ca2_e : 0.003704
  EX_cu2_e : 0.000505
  EX_mn2_e : 0.000492
  EX_zn2_e : 0.000243
  EX_ni2_e : 0.000230
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_fe3_e : 999.988569
  EX_h2o_e : 545.599149
  EX_co2_e : 21.665607
  EX_succ_e : 0.742160
  Auxiliary production reaction : 0.375883
  EX_ura_e : 0.128821
  DM_5drib_c : 0.000160
  DM_4crsol_c : 0.000159

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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