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 : pe140_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (74 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: STM3646 STM1463 STM1749 STM2463 STM2122 STM2285 STM3526 STM4570 STM4326 STM1511 STM2952 STM0321 STM2947 STM3068 STM2141 STM1135 STM4183 STM0368 STM0974 STM4408 STM3062 STM1291 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM4467 STM2196 STM3240 STM0402 STM0608 STM3708 STM2971 STM1826 STM1341   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.277129 (mmol/gDw/h)
  Minimum Production Rate : 0.005095 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.341255
  EX_glc__D_e : 5.000000
  EX_nh4_e : 3.059089
  EX_pi_e : 0.250859
  EX_k_e : 0.049218
  EX_so4_e : 0.033805
  EX_mg2_e : 0.002188
  EX_fe2_e : 0.002031
  EX_ca2_e : 0.001313
  EX_cl_e : 0.001313
  EX_cobalt2_e : 0.000875
  EX_cu2_e : 0.000875
  EX_mn2_e : 0.000875
  EX_mobd_e : 0.000875
  EX_zn2_e : 0.000875

Product: (mmol/gDw/h)
  EX_h2o_e : 25.342820
  EX_co2_e : 17.687572
  EX_h_e : 2.344296
  EX_acald_e : 0.712114
  Auxiliary production reaction : 0.005095
  DM_hmfurn_c : 0.000124

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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