MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.


Model : STM_v1_0 [2].
Target metabolite : pa180_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (59 of 103: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: STM3646 STM2927 STM4482 STM4108 STM2285 STM3526 STM1290 STM3512 STM3541 STM4326 STM1511 STM0840 STM0842 STM1135 STM1570 STM4036 STM1448 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2332 STM3968 STM3241 STM0973 STM1124 STM2196 STM3240 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.237344 (mmol/gDw/h)
  Minimum Production Rate : 0.042954 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.615563
  EX_pi_e : 0.253437
  EX_k_e : 0.042152
  EX_so4_e : 0.028952
  EX_mg2_e : 0.001874
  EX_fe2_e : 0.001739
  EX_ca2_e : 0.001124
  EX_cl_e : 0.001124
  EX_cobalt2_e : 0.000750
  EX_cu2_e : 0.000750
  EX_mn2_e : 0.000750
  EX_mobd_e : 0.000750
  EX_zn2_e : 0.000750

Product: (mmol/gDw/h)
  EX_h2o_e : 25.772760
  EX_co2_e : 19.143682
  EX_h_e : 2.012112
  Auxiliary production reaction : 0.042954
  DM_hmfurn_c : 0.000106

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].

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: 27-Sep-2023
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