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 : pa161_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (31 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: STM3646 STM0158 STM1749 STM2463 STM4108 STM2285 STM3526 STM0322 STM1290 STM4326 STM1511 STM1884 STM0517 STM2947 STM3709 STM3529 STM1135 STM4183 STM0491 STM4408 STM1291 STM4484 STM2317 STM3179 STM1480 STM4126 STM0402 STM0608 STM1341   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.238788 (mmol/gDw/h)
  Minimum Production Rate : 0.037769 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.631472
  EX_pi_e : 0.249531
  EX_k_e : 0.042409
  EX_so4_e : 0.029128
  EX_mg2_e : 0.001885
  EX_fe2_e : 0.001750
  EX_ca2_e : 0.001131
  EX_cl_e : 0.001131
  EX_cobalt2_e : 0.000754
  EX_cu2_e : 0.000754
  EX_mn2_e : 0.000754
  EX_mobd_e : 0.000754
  EX_zn2_e : 0.000754

Product: (mmol/gDw/h)
  EX_h2o_e : 25.768158
  EX_co2_e : 19.034113
  EX_h_e : 2.036290
  EX_acald_e : 0.191330
  Auxiliary production reaction : 0.037769
  EX_glyclt_e : 0.011939
  EX_glyald_e : 0.000165
  DM_hmfurn_c : 0.000106

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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