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 : pa180_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 113: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 27
  Gene deletion: STM1749 STM2463 STM2285 STM3526 STM4570 STM4326 STM1511 STM0321 STM3709 STM3068 STM2141 STM1620 STM3542 STM4485 STM0368 STM1448 STM3062 STM0772 STM4585 STM3704 STM0518 STM4184 STM4484 STM2317 STM3179 STM1480 STM4126   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.221154 (mmol/gDw/h)
  Minimum Production Rate : 0.028445 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 18.500000
  EX_glc__D_e : 5.000000
  EX_nh4_e : 2.437149
  EX_pi_e : 0.224569
  EX_k_e : 0.039277
  EX_so4_e : 0.026977
  EX_mg2_e : 0.001746
  EX_fe2_e : 0.001621
  EX_ca2_e : 0.001048
  EX_cl_e : 0.001048
  EX_cobalt2_e : 0.000698
  EX_cu2_e : 0.000698
  EX_mn2_e : 0.000698
  EX_mobd_e : 0.000698
  EX_zn2_e : 0.000698

Product: (mmol/gDw/h)
  EX_h2o_e : 25.339019
  EX_co2_e : 19.185286
  EX_h_e : 1.885919
  EX_acald_e : 0.564215
  Auxiliary production reaction : 0.028445
  EX_glyclt_e : 0.011058
  DM_hmfurn_c : 0.000099

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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