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 : 1tdecg3p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (86 of 125: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: STM4482 STM1749 STM2463 STM2122 STM2285 STM3526 STM3512 STM3541 STM4570 STM4326 STM1511 STM2952 STM0321 STM2947 STM3709 STM3068 STM2141 STM1620 STM0368 STM0974 STM1448 STM0518 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.270675 (mmol/gDw/h)
  Minimum Production Rate : 0.021390 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.982880
  EX_pi_e : 0.261431
  EX_k_e : 0.048072
  EX_so4_e : 0.033018
  EX_mg2_e : 0.002137
  EX_fe2_e : 0.001984
  EX_ca2_e : 0.001282
  EX_cl_e : 0.001282
  EX_cu2_e : 0.000855
  EX_mn2_e : 0.000855
  EX_mobd_e : 0.000855
  EX_zn2_e : 0.000855
  EX_cobalt2_e : 0.000855

Product: (mmol/gDw/h)
  EX_h2o_e : 26.157674
  EX_co2_e : 18.674223
  EX_h_e : 2.308217
  EX_acald_e : 0.232317
  Auxiliary production reaction : 0.021390
  EX_glyclt_e : 0.013534
  DM_hmfurn_c : 0.000121

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.

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Last updated: 27-Sep-2023
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