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 : clpn160_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (96 of 113: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 41
  Gene deletion: STM3646 STM1749 STM2463 STM2285 STM3526 STM0322 STM3091 STM4326 STM1884 STM2952 STM2947 STM3068 STM2141 STM1135 STM1570 STM4036 STM4183 STM0491 STM0369 STM4408 STM1291 STM4484 STM2317 STM3179 STM1480 STM4126 STM4578 STM2338 STM2466 STM1933 STM3063 STM4467 STM3802 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 : 0.014270 (mmol/gDw/h)
  Minimum Production Rate : 0.028375 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 9.324838
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.190136
  EX_pi_e : 0.102291
  EX_k_e : 0.002534
  EX_so4_e : 0.001740
  EX_mg2_e : 0.000113
  EX_fe2_e : 0.000094
  EX_ca2_e : 0.000068
  EX_cl_e : 0.000068
  EX_cobalt2_e : 0.000045
  EX_cu2_e : 0.000045
  EX_mn2_e : 0.000045
  EX_mobd_e : 0.000045
  EX_zn2_e : 0.000045
  EX_fe3_e : 0.000010

Product: (mmol/gDw/h)
  EX_h2o_e : 11.484319
  EX_co2_e : 10.702411
  EX_dha_e : 4.930854
  EX_h_e : 0.130007
  EX_acald_e : 0.036404
  Auxiliary production reaction : 0.028375
  EX_lipa_e : 0.016444

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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