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 : ahcys_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (21 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b2836 b4382 b1241 b0351 b4069 b4384 b3708 b2297 b2458 b3617 b0030 b2407 b2797 b3117 b1814 b4471 b3665 b2406 b0112 b3654 b3714 b3664 b0114 b2366 b2492 b0904 b1533 b1511 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.497715 (mmol/gDw/h)
  Minimum Production Rate : 0.745325 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 21.683498
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.847227
  EX_so4_e : 0.870659
  EX_pi_e : 0.480099
  EX_k_e : 0.097150
  EX_fe2_e : 0.007994
  EX_mg2_e : 0.004318
  EX_ca2_e : 0.002591
  EX_cl_e : 0.002591
  EX_cu2_e : 0.000353
  EX_mn2_e : 0.000344
  EX_zn2_e : 0.000170
  EX_ni2_e : 0.000161
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 45.950790
  EX_co2_e : 22.372970
  EX_h_e : 10.936289
  EX_ac_e : 3.381787
  Auxiliary production reaction : 0.745325
  DM_5drib_c : 0.000112
  DM_4crsol_c : 0.000111

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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