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 : dtdp4d6dg_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 51: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b4382 b0474 b2518 b3831 b4384 b1278 b4152 b2781 b0030 b1612 b1611 b4122 b0907 b0651 b2162 b1759 b4161 b4138 b4123 b0621 b2406 b2197 b3918 b0418 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.673821 (mmol/gDw/h)
  Minimum Production Rate : 0.247519 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.931886
  EX_o2_e : 274.030441
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.232891
  EX_pi_e : 1.145009
  EX_so4_e : 0.169682
  EX_k_e : 0.131525
  EX_mg2_e : 0.005845
  EX_ca2_e : 0.003507
  EX_cl_e : 0.003507
  EX_cu2_e : 0.000478
  EX_mn2_e : 0.000466
  EX_zn2_e : 0.000230
  EX_ni2_e : 0.000218
  EX_cobalt2_e : 0.000017

Product: (mmol/gDw/h)
  EX_fe3_e : 999.989178
  EX_h2o_e : 546.768319
  EX_co2_e : 24.650528
  EX_succ_e : 0.702656
  Auxiliary production reaction : 0.247519
  EX_ura_e : 0.230320
  DM_5drib_c : 0.000152
  DM_4crsol_c : 0.000150

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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