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 : 2agpg181_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (41 of 52: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3831 b2744 b1278 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4374 b2361 b2291 b4138 b4123 b0621 b2406 b2197 b3825 b3918 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.623692 (mmol/gDw/h)
  Minimum Production Rate : 0.329400 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.403311
  EX_o2_e : 268.979289
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.620399
  EX_pi_e : 0.931017
  EX_so4_e : 0.157058
  EX_k_e : 0.121740
  EX_mg2_e : 0.005411
  EX_cl_e : 0.003246
  EX_ca2_e : 0.003246
  EX_cu2_e : 0.000442
  EX_mn2_e : 0.000431
  EX_zn2_e : 0.000213
  EX_ni2_e : 0.000201
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_fe3_e : 999.989983
  EX_h2o_e : 542.109636
  EX_co2_e : 22.124037
  EX_succ_e : 0.650381
  EX_ura_e : 0.442290
  Auxiliary production reaction : 0.329400
  DM_5drib_c : 0.000140
  DM_4crsol_c : 0.000139

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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