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 : dhmptp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (20 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3399 b1241 b0351 b4069 b2744 b3115 b1849 b2296 b0160 b1982 b3616 b3589 b0675 b2361 b0261 b0507 b4381 b2406 b0112 b2975 b0114 b3603 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.459294 (mmol/gDw/h)
  Minimum Production Rate : 1.736414 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 24.032916
  EX_nh4_e : 13.654938
  EX_glc__D_e : 10.000000
  EX_pi_e : 5.652280
  EX_so4_e : 0.115659
  EX_k_e : 0.089651
  EX_fe2_e : 0.007377
  EX_mg2_e : 0.003984
  EX_ca2_e : 0.002391
  EX_cl_e : 0.002391
  EX_cu2_e : 0.000326
  EX_mn2_e : 0.000317
  EX_zn2_e : 0.000157
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 55.380459
  EX_co2_e : 20.653329
  EX_h_e : 11.874956
  EX_ac_e : 2.420474
  Auxiliary production reaction : 1.736414
  DM_oxam_c : 0.012532
  DM_5drib_c : 0.000308
  DM_4crsol_c : 0.000102

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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