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 : dhna_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (102 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: STM0620 STM1749 STM2463 STM0737 STM0441 STM2555 STM3680 STM2285 STM3526 STM0169 STM0861 STM1511 STM3866 STM1620 STM2167 STM0368 STM2472 STM0785 STM0150 STM4184 STM0568 STM1211 STM2317 STM0935 STM3179 STM2338 STM2466 STM3218 STM0007 STM2473 STM0054 STM3353   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.013007 (mmol/gDw/h)
  Minimum Production Rate : 0.008935 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.143333
  EX_o2_e : 0.075219
  EX_pi_e : 0.011532
  EX_k_e : 0.002310
  EX_so4_e : 0.001586
  EX_mg2_e : 0.000103
  EX_fe2_e : 0.000095
  EX_ca2_e : 0.000062
  EX_cl_e : 0.000062
  EX_cobalt2_e : 0.000041
  EX_cu2_e : 0.000041
  EX_mn2_e : 0.000041
  EX_mobd_e : 0.000041
  EX_zn2_e : 0.000041

Product: (mmol/gDw/h)
  EX_h_e : 9.777932
  EX_lac__D_e : 9.443755
  EX_h2o_e : 0.595992
  EX_12ppd__R_e : 0.122511
  EX_co2_e : 0.115610
  EX_akg_e : 0.103563
  EX_etoh_e : 0.025339
  Auxiliary production reaction : 0.008935
  EX_ac_e : 0.007200
  EX_glyclt_e : 0.000650

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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