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 : methf_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (48 of 126: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: STM2927 STM2421 STM1749 STM2463 STM4275 STM2009 STM4567 STM1750 STM0584 STM3709 STM0974 STM0152 STM0150 STM3957 STM3279 STM2338 STM2466 STM0208 STM3802 STM2196 STM3240 STM2970 STM3243 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.249755 (mmol/gDw/h)
  Minimum Production Rate : 0.383844 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 11.683340
  EX_nh4_e : 5.448536
  EX_glc__D_e : 5.000000
  EX_pi_e : 0.221488
  EX_k_e : 0.044356
  EX_so4_e : 0.030466
  EX_mg2_e : 0.001972
  EX_fe2_e : 0.001830
  EX_cl_e : 0.001183
  EX_ca2_e : 0.001183
  EX_cobalt2_e : 0.000789
  EX_cu2_e : 0.000789
  EX_mn2_e : 0.000789
  EX_mobd_e : 0.000789
  EX_zn2_e : 0.000789

Product: (mmol/gDw/h)
  EX_h2o_e : 25.039478
  EX_co2_e : 10.458691
  EX_h_e : 6.294353
  EX_ac_e : 1.096978
  Auxiliary production reaction : 0.383844
  EX_ade_e : 0.001860
  DM_hmfurn_c : 0.000111

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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