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 : ser__L_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (53 of 90: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: STM2285 STM3526 STM4326 STM3709 STM1570 STM1620 STM4036 STM2167 STM0152 STM4408 STM1291 STM0518 STM4184 STM4484 STM0399 STM1211 STM2317 STM0935 STM3179 STM1480 STM4126 STM2338 STM2466 STM3802 STM2196 STM3240 STM0402 STM0608 STM2971 STM1826 STM1341   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.062646 (mmol/gDw/h)
  Minimum Production Rate : 0.336342 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_glc__D_e : 5.000000
  EX_o2_e : 4.051727
  EX_nh4_e : 1.026703
  EX_pi_e : 0.055555
  EX_k_e : 0.011126
  EX_so4_e : 0.007642
  EX_mg2_e : 0.000495
  EX_fe2_e : 0.000459
  EX_ca2_e : 0.000297
  EX_cl_e : 0.000297
  EX_cobalt2_e : 0.000198
  EX_cu2_e : 0.000198
  EX_mn2_e : 0.000198
  EX_mobd_e : 0.000198
  EX_zn2_e : 0.000198

Product: (mmol/gDw/h)
  EX_h_e : 9.431629
  EX_for_e : 8.542486
  EX_etoh_e : 6.129395
  EX_co2_e : 5.722969
  EX_h2o_e : 1.656943
  EX_ser__L_e : 0.336342
  EX_ac_e : 0.018585
  EX_glyclt_e : 0.003132
  DM_hmfurn_c : 0.000028

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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