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 : 12ppd__R_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (1 of 101: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: STM0758 STM4061 STM3747 STM3952 STM4340 STM3680 STM1522 STM3091 STM3066 STM3614 STM3866 STM3986 STM3880 STM0974 STM2472 STM0785 STM1480 STM1806 STM0039 STM3243 STM3225 STM2041 STM4301 STM3599 STM4325 STM0627 STM4456 STM3763   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.013399 (mmol/gDw/h)
  Minimum Production Rate : 0.158927 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.147654
  EX_o2_e : 0.069280
  EX_pi_e : 0.011880
  EX_k_e : 0.002380
  EX_so4_e : 0.001634
  EX_mg2_e : 0.000106
  EX_fe3_e : 0.000098
  EX_ca2_e : 0.000063
  EX_cl_e : 0.000063
  EX_cobalt2_e : 0.000042
  EX_cu2_e : 0.000042
  EX_mn2_e : 0.000042
  EX_mobd_e : 0.000042
  EX_zn2_e : 0.000042

Product: (mmol/gDw/h)
  EX_h_e : 9.749682
  EX_lac__D_e : 9.534841
  EX_h2o_e : 0.459735
  EX_co2_e : 0.198849
  EX_12ppd__R_e : 0.158680
  EX_succ_e : 0.050241
  EX_glyclt_e : 0.000670

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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