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 : glyclt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (22 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b2297 b2458 b0030 b2407 b3124 b1982 b3616 b3589 b0261 b2406 b0112 b2789 b3127 b2975 b0114 b3603 b0529 b2492 b0904 b0514 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.489282 (mmol/gDw/h)
  Minimum Production Rate : 0.938023 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 20.561420
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.222445
  EX_pi_e : 0.471964
  EX_so4_e : 0.123211
  EX_k_e : 0.095504
  EX_fe2_e : 0.007858
  EX_mg2_e : 0.004245
  EX_cl_e : 0.002547
  EX_ca2_e : 0.002547
  EX_cu2_e : 0.000347
  EX_mn2_e : 0.000338
  EX_zn2_e : 0.000167
  EX_ni2_e : 0.000158
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 39.214834
  EX_co2_e : 21.604682
  EX_h_e : 8.963514
  EX_ac_e : 1.653289
  DM_oxam_c : 0.938243
  DM_5drib_c : 0.938024
  Auxiliary production reaction : 0.938023
  DM_4crsol_c : 0.937805

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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