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

Gene deletion strategy (59 of 101: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: STM0758 STM4061 STM3646 STM3747 STM3952 STM3680 STM3016 STM3091 STM3066 STM3614 STM3866 STM3986 STM3880 STM1135 STM0974 STM2472 STM4299 STM0785 STM1211 STM2317 STM1480 STM1806 STM0039 STM3243 STM3225 STM2041 STM4301 STM3599 STM4325 STM0627 STM4456 STM3763   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.013517 (mmol/gDw/h)
  Minimum Production Rate : 0.151438 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_glc__D_e : 5.000000
  EX_nh4_e : 0.148957
  EX_o2_e : 0.070096
  EX_pi_e : 0.011985
  EX_k_e : 0.002401
  EX_so4_e : 0.001648
  EX_mg2_e : 0.000107
  EX_fe3_e : 0.000099
  EX_ca2_e : 0.000064
  EX_cl_e : 0.000064
  EX_cobalt2_e : 0.000043
  EX_cu2_e : 0.000043
  EX_mn2_e : 0.000043
  EX_mobd_e : 0.000043
  EX_zn2_e : 0.000043

Product: (mmol/gDw/h)
  EX_h_e : 9.758794
  EX_lac__D_e : 9.542188
  EX_h2o_e : 0.464477
  EX_co2_e : 0.192386
  EX_12ppd__R_e : 0.151450
  EX_succ_e : 0.050957

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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