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 : lipa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 110: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: STM1749 STM2463 STM2285 STM3526 STM4326 STM1511 STM2952 STM2947 STM3709 STM3068 STM2141 STM1620 STM3542 STM4485 STM0491 STM0974 STM1448 STM0518 STM4184 STM4484 STM0542 STM2317 STM3179 STM1480 STM4126 STM4578 STM1933 STM1124 STM3063 STM4467 STM2196 STM3240 STM2051 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.084293 (mmol/gDw/h)
  Minimum Production Rate : 0.096354 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 12.288257
  EX_glc__D_e : 5.000000
  EX_nh4_e : 1.123191
  EX_pi_e : 0.269034
  EX_k_e : 0.014970
  EX_so4_e : 0.010282
  EX_mg2_e : 0.000665
  EX_fe2_e : 0.000618
  EX_ca2_e : 0.000399
  EX_cl_e : 0.000399
  EX_cobalt2_e : 0.000266
  EX_cu2_e : 0.000266
  EX_mn2_e : 0.000266
  EX_mobd_e : 0.000266
  EX_zn2_e : 0.000266

Product: (mmol/gDw/h)
  EX_h2o_e : 19.282825
  EX_co2_e : 15.503497
  EX_h_e : 1.107375
  EX_acald_e : 0.281171
  Auxiliary production reaction : 0.096354
  EX_glyclt_e : 0.004215
  EX_kdo2lipid4_e : 0.000787
  DM_hmfurn_c : 0.000038

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
Contact