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 : ade_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (62 of 78: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: b2744 b3708 b3008 b2930 b4232 b3697 b3925 b0871 b2883 b2797 b3117 b1814 b4471 b3946 b0825 b4381 b3654 b2868 b3714 b3664 b4064 b4464 b0114 b2366 b2492 b0904 b1533 b3821   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.794563 (mmol/gDw/h)
  Minimum Production Rate : 0.217145 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.600755
  EX_o2_e : 275.145192
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.666933
  EX_pi_e : 0.766440
  EX_so4_e : 0.200087
  EX_k_e : 0.155093
  EX_mg2_e : 0.006893
  EX_ca2_e : 0.004136
  EX_cl_e : 0.004136
  EX_cu2_e : 0.000563
  EX_mn2_e : 0.000549
  EX_zn2_e : 0.000271
  EX_ni2_e : 0.000257
  EX_cobalt2_e : 0.000020

Product: (mmol/gDw/h)
  EX_fe3_e : 999.987239
  EX_h2o_e : 549.448402
  EX_co2_e : 26.301132
  Auxiliary production reaction : 0.217145
  DM_5drib_c : 0.000179
  DM_4crsol_c : 0.000177

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.

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Last updated: 21-Sep-2023
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