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 : cdp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (70 of 70: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 66
  Gene deletion: b2242 b3553 b0586 b1241 b0351 b4069 b4384 b2744 b3708 b3614 b0910 b3752 b3115 b1849 b2296 b2781 b2407 b1612 b1611 b4122 b1779 b2690 b1759 b3962 b0104 b2797 b3117 b1814 b4471 b3616 b3589 b4267 b1033 b4374 b0675 b2361 b2291 b1415 b1014 b0822 b1907 b4138 b4123 b0621 b0112 b0511 b0837 b0124 b0114 b2366 b2492 b0904 b1533 b3028 b3821 b1380 b3918 b0325 b4042 b1473 b3715 b0515 b1511 b4266 b3662 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.322107 (mmol/gDw/h)
  Minimum Production Rate : 0.373486 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 990.416838
  EX_o2_e : 285.177133
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.645248
  EX_pi_e : 1.057678
  EX_so4_e : 0.081113
  EX_k_e : 0.062873
  EX_mg2_e : 0.002794
  EX_ca2_e : 0.001677
  EX_cl_e : 0.001677
  EX_cu2_e : 0.000228
  EX_mn2_e : 0.000223
  EX_zn2_e : 0.000110
  EX_ni2_e : 0.000104

Product: (mmol/gDw/h)
  EX_fe3_e : 999.994827
  EX_h2o_e : 550.918764
  EX_co2_e : 33.120612
  EX_succ_e : 1.300621
  EX_ac_e : 1.223850
  EX_xan_e : 0.482365
  Auxiliary production reaction : 0.373486
  EX_ura_e : 0.058302
  EX_dxylnt_e : 0.000215
  DM_mththf_c : 0.000144
  DM_5drib_c : 0.000072
  DM_4crsol_c : 0.000072

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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