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 : ps160_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (34 of 119: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: STM1463 STM1749 STM2463 STM4108 STM2285 STM3526 STM4326 STM1511 STM0321 STM2947 STM3529 STM1620 STM3542 STM4485 STM0974 STM1448 STM3069 STM0518 STM4184 STM4484 STM0542 STM2317 STM3179 STM1480 STM4126 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.223984 (mmol/gDw/h)
  Minimum Production Rate : 0.027541 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.495878
  EX_pi_e : 0.226176
  EX_k_e : 0.039780
  EX_so4_e : 0.027322
  EX_mg2_e : 0.001768
  EX_fe2_e : 0.001642
  EX_ca2_e : 0.001061
  EX_cl_e : 0.001061
  EX_cobalt2_e : 0.000707
  EX_cu2_e : 0.000707
  EX_mn2_e : 0.000707
  EX_mobd_e : 0.000707
  EX_zn2_e : 0.000707

Product: (mmol/gDw/h)
  EX_h2o_e : 25.393143
  EX_co2_e : 19.108112
  EX_h_e : 1.910053
  EX_acald_e : 0.579071
  Auxiliary production reaction : 0.027541
  EX_glyclt_e : 0.011199
  EX_glyald_e : 0.000155
  DM_hmfurn_c : 0.000100

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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