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 : ps181_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 132: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: STM0158 STM1463 STM2285 STM3526 STM4326 STM1885 STM2952 STM0321 STM3709 STM3068 STM2141 STM1620 STM1448 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM4578 STM2338 STM2466 STM3248 STM0519 STM0007 STM2473 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.253438 (mmol/gDw/h)
  Minimum Production Rate : 0.025723 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.818640
  EX_pi_e : 0.250477
  EX_k_e : 0.045011
  EX_so4_e : 0.030915
  EX_mg2_e : 0.002001
  EX_fe2_e : 0.001857
  EX_ca2_e : 0.001201
  EX_cl_e : 0.001201
  EX_cobalt2_e : 0.000800
  EX_cu2_e : 0.000800
  EX_mn2_e : 0.000800
  EX_mobd_e : 0.000800
  EX_zn2_e : 0.000800

Product: (mmol/gDw/h)
  EX_h2o_e : 25.951211
  EX_co2_e : 18.810030
  EX_h_e : 2.301531
  EX_ac_e : 0.140311
  Auxiliary production reaction : 0.025723
  EX_glyclt_e : 0.012672
  DM_hmfurn_c : 0.000113

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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