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 : pa120_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (104 of 128: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: STM3646 STM2927 STM1749 STM2463 STM2285 STM3526 STM3091 STM4326 STM1511 STM1884 STM0321 STM2947 STM3709 STM3068 STM2141 STM1135 STM0369 STM3597 STM4408 STM1291 STM4184 STM4484 STM2317 STM3179 STM4569 STM1480 STM4126 STM2338 STM2466 STM4467 STM2196 STM3240 STM0402 STM0608 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.174329 (mmol/gDw/h)
  Minimum Production Rate : 0.016361 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 8.462214
  EX_glc__D_e : 5.000000
  EX_nh4_e : 1.921128
  EX_pi_e : 0.170960
  EX_k_e : 0.030961
  EX_so4_e : 0.021265
  EX_mg2_e : 0.001376
  EX_fe2_e : 0.001278
  EX_ca2_e : 0.000826
  EX_cl_e : 0.000826
  EX_cobalt2_e : 0.000551
  EX_cu2_e : 0.000551
  EX_mn2_e : 0.000551
  EX_mobd_e : 0.000551
  EX_zn2_e : 0.000551

Product: (mmol/gDw/h)
  EX_h2o_e : 13.647264
  EX_co2_e : 8.808591
  EX_dha_e : 4.372216
  EX_h_e : 1.477894
  EX_acald_e : 0.444753
  Auxiliary production reaction : 0.016361
  DM_hmfurn_c : 0.000078

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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