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 : 2agpg160_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 55: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4382 b3831 b4384 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b3449 b4138 b4123 b0621 b2406 b2197 b3918 b0789 b1249 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.631466 (mmol/gDw/h)
  Minimum Production Rate : 0.333506 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 19.304287
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.715383
  EX_pi_e : 0.942621
  EX_so4_e : 0.159016
  EX_k_e : 0.123258
  EX_fe2_e : 0.010142
  EX_mg2_e : 0.005478
  EX_cl_e : 0.003287
  EX_ca2_e : 0.003287
  EX_cu2_e : 0.000448
  EX_mn2_e : 0.000436
  EX_zn2_e : 0.000215
  EX_ni2_e : 0.000204
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 42.225219
  EX_co2_e : 22.318945
  EX_h_e : 7.681235
  EX_succ_e : 0.658488
  EX_ura_e : 0.447803
  Auxiliary production reaction : 0.333506
  DM_5drib_c : 0.000142
  DM_4crsol_c : 0.000141

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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