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 : 10fthf_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (10 of 46: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b4382 b1241 b0351 b4069 b4384 b3115 b1849 b2296 b0030 b2407 b1982 b3616 b3589 b4014 b0261 b2976 b0507 b2406 b0112 b2975 b0114 b3603 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.311608 (mmol/gDw/h)
  Minimum Production Rate : 1.194378 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 20.550161
  EX_nh4_e : 11.726338
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.300579
  EX_so4_e : 0.078469
  EX_k_e : 0.060824
  EX_fe2_e : 0.005005
  EX_mg2_e : 0.002703
  EX_ca2_e : 0.001622
  EX_cl_e : 0.001622
  EX_cu2_e : 0.000221
  EX_mn2_e : 0.000215
  EX_zn2_e : 0.000106
  EX_ni2_e : 0.000101

Product: (mmol/gDw/h)
  EX_h2o_e : 48.554145
  EX_co2_e : 17.631552
  EX_h_e : 16.457984
  EX_ac_e : 2.844703
  Auxiliary production reaction : 1.194378
  DM_oxam_c : 0.000349
  DM_5drib_c : 0.000209
  DM_4crsol_c : 0.000069

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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