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 : pa181_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 128: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: STM2122 STM4108 STM2285 STM3526 STM4570 STM4326 STM1885 STM3709 STM3529 STM1620 STM1448 STM0772 STM4585 STM3704 STM0518 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM0977 STM1124 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.256513 (mmol/gDw/h)
  Minimum Production Rate : 0.027078 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.826805
  EX_pi_e : 0.254560
  EX_k_e : 0.045557
  EX_so4_e : 0.031290
  EX_mg2_e : 0.002025
  EX_fe2_e : 0.001880
  EX_ca2_e : 0.001215
  EX_cl_e : 0.001215
  EX_cu2_e : 0.000810
  EX_mn2_e : 0.000810
  EX_mobd_e : 0.000810
  EX_zn2_e : 0.000810
  EX_cobalt2_e : 0.000810

Product: (mmol/gDw/h)
  EX_h2o_e : 26.022910
  EX_co2_e : 18.842978
  EX_h_e : 2.263540
  EX_ac_e : 0.076097
  Auxiliary production reaction : 0.027078
  EX_glyclt_e : 0.012826
  EX_glyald_e : 0.000178
  DM_hmfurn_c : 0.000114

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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