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 : ocdca_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (8 of 105: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: STM3646 STM1463 STM1749 STM2463 STM2285 STM3526 STM0322 STM4326 STM1511 STM2947 STM3709 STM3068 STM2141 STM1135 STM1570 STM4036 STM4183 STM0368 STM3597 STM4408 STM1291 STM3069 STM4484 STM2317 STM3179 STM1480 STM4126 STM2338 STM2466 STM3248 STM0519 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 : 0.277308 (mmol/gDw/h)
  Minimum Production Rate : 0.008641 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.334875
  EX_glc__D_e : 5.000000
  EX_nh4_e : 3.055967
  EX_pi_e : 0.245923
  EX_k_e : 0.049250
  EX_so4_e : 0.033827
  EX_mg2_e : 0.002189
  EX_fe2_e : 0.002032
  EX_ca2_e : 0.001314
  EX_cl_e : 0.001314
  EX_cu2_e : 0.000876
  EX_mn2_e : 0.000876
  EX_mobd_e : 0.000876
  EX_zn2_e : 0.000876
  EX_cobalt2_e : 0.000876

Product: (mmol/gDw/h)
  EX_h2o_e : 25.319684
  EX_co2_e : 17.674785
  EX_h_e : 2.373415
  EX_acald_e : 0.707476
  EX_glyclt_e : 0.013865
  Auxiliary production reaction : 0.008641
  DM_hmfurn_c : 0.000124

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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