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 (21 of 113: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: STM1463 STM1749 STM2463 STM2285 STM3526 STM0322 STM3091 STM1290 STM4326 STM1511 STM1885 STM2947 STM3709 STM1620 STM0370 STM1448 STM1326 STM4062 STM0518 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM1933 STM3063 STM4467 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.022437 (mmol/gDw/h)
  Minimum Production Rate : 0.014165 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 9.195968
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.298973
  EX_pi_e : 0.099942
  EX_k_e : 0.003985
  EX_so4_e : 0.002737
  EX_mg2_e : 0.000177
  EX_fe2_e : 0.000164
  EX_ca2_e : 0.000106
  EX_cl_e : 0.000106
  EX_cu2_e : 0.000071
  EX_mn2_e : 0.000071
  EX_mobd_e : 0.000071
  EX_zn2_e : 0.000071
  EX_cobalt2_e : 0.000071

Product: (mmol/gDw/h)
  EX_h2o_e : 11.540413
  EX_co2_e : 10.463180
  EX_dha_e : 4.891273
  EX_h_e : 0.266433
  EX_acald_e : 0.057242
  EX_lipa_e : 0.025857
  Auxiliary production reaction : 0.014165
  EX_glyclt_e : 0.001122
  DM_hmfurn_c : 0.000010

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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