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 : gdpmann_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (53 of 108: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3399 b4069 b2502 b2744 b3708 b3008 b2297 b2458 b1982 b2797 b3117 b1814 b4471 b2440 b0595 b4374 b0675 b2361 b2291 b0261 b0114 b2366 b2492 b0904 b2578 b1533 b3927 b0494 b3447   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.725421 (mmol/gDw/h)
  Minimum Production Rate : 0.307286 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.978702
  EX_o2_e : 273.832659
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.370918
  EX_pi_e : 1.314318
  EX_so4_e : 0.182676
  EX_k_e : 0.141597
  EX_mg2_e : 0.006293
  EX_ca2_e : 0.003776
  EX_cl_e : 0.003776
  EX_cu2_e : 0.000514
  EX_mn2_e : 0.000501
  EX_zn2_e : 0.000247
  EX_ni2_e : 0.000234
  EX_cobalt2_e : 0.000018

Product: (mmol/gDw/h)
  EX_fe3_e : 999.988349
  EX_h2o_e : 547.914487
  EX_co2_e : 24.461938
  EX_ac_e : 0.422330
  Auxiliary production reaction : 0.307286
  DM_5drib_c : 0.000487
  DM_4crsol_c : 0.000162

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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