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 : dcmp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (48 of 117: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b3399 b4382 b1241 b0351 b4069 b4384 b2744 b3708 b2297 b2458 b0160 b2407 b1982 b2797 b3117 b1814 b4471 b3616 b3589 b0675 b2361 b0261 b2406 b0112 b0114 b1539 b2492 b0904 b1533 b3825 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.435941 (mmol/gDw/h)
  Minimum Production Rate : 1.304502 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 28.730929
  EX_glc__D_e : 10.000000
  EX_nh4_e : 8.622125
  EX_pi_e : 1.725014
  EX_so4_e : 0.109779
  EX_k_e : 0.085093
  EX_fe2_e : 0.007002
  EX_mg2_e : 0.003782
  EX_cl_e : 0.002269
  EX_ca2_e : 0.002269
  EX_cu2_e : 0.000309
  EX_mn2_e : 0.000301
  EX_zn2_e : 0.000149
  EX_ni2_e : 0.000141
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 50.305102
  EX_co2_e : 28.356100
  EX_h_e : 8.924106
  Auxiliary production reaction : 1.304502
  EX_ac_e : 1.004019
  DM_oxam_c : 0.000488
  DM_5drib_c : 0.000293
  DM_4crsol_c : 0.000097

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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