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 : 12dgr140_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (102 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: STM3646 STM1463 STM1749 STM2463 STM2285 STM3526 STM4570 STM4326 STM1511 STM1884 STM2952 STM0517 STM2947 STM3709 STM1135 STM4183 STM0368 STM3597 STM1326 STM4062 STM4408 STM1291 STM4484 STM0542 STM2317 STM3179 STM1480 STM4126 STM3968 STM0977 STM1124 STM4467 STM2196 STM3240 STM0402 STM0608 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.071631 (mmol/gDw/h)
  Minimum Production Rate : 0.061201 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 9.199650
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.789373
  EX_pi_e : 0.063522
  EX_k_e : 0.012722
  EX_so4_e : 0.008738
  EX_mg2_e : 0.000566
  EX_fe2_e : 0.000524
  EX_cl_e : 0.000339
  EX_ca2_e : 0.000339
  EX_cobalt2_e : 0.000226
  EX_cu2_e : 0.000226
  EX_mn2_e : 0.000226
  EX_mobd_e : 0.000226
  EX_zn2_e : 0.000226

Product: (mmol/gDw/h)
  EX_h2o_e : 12.098628
  EX_co2_e : 10.062711
  EX_dha_e : 4.928055
  EX_h_e : 0.610835
  EX_acald_e : 0.238935
  Auxiliary production reaction : 0.061201
  EX_glyclt_e : 0.003582
  DM_hmfurn_c : 0.000032

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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