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 : pa120_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (44 of 128: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 28
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM4567 STM4326 STM1511 STM2952 STM0321 STM0840 STM0842 STM2947 STM1135 STM3542 STM4485 STM4183 STM0369 STM1448 STM2403 STM0393 STM4484 STM2317 STM3179 STM1480 STM4126 STM0977 STM3708   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.200747 (mmol/gDw/h)
  Minimum Production Rate : 0.046248 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.212261
  EX_pi_e : 0.224276
  EX_k_e : 0.035653
  EX_so4_e : 0.024488
  EX_mg2_e : 0.001585
  EX_fe2_e : 0.001471
  EX_ca2_e : 0.000951
  EX_cl_e : 0.000951
  EX_cobalt2_e : 0.000634
  EX_cu2_e : 0.000634
  EX_mn2_e : 0.000634
  EX_mobd_e : 0.000634
  EX_zn2_e : 0.000634

Product: (mmol/gDw/h)
  EX_h2o_e : 24.968386
  EX_co2_e : 19.341632
  EX_h_e : 1.701858
  EX_acald_e : 0.822113
  Auxiliary production reaction : 0.046248
  DM_hmfurn_c : 0.000090

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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