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 : pa160_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (47 of 85: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: STM1749 STM2463 STM2285 STM3526 STM1290 STM4570 STM4326 STM1511 STM2947 STM3709 STM1620 STM0491 STM0369 STM1448 STM1326 STM4062 STM0518 STM4184 STM4484 STM0542 STM2317 STM3179 STM1480 STM4126 STM1124 STM4467 STM2196 STM3240 STM3708 STM2971 STM1826   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.294443 (mmol/gDw/h)
  Minimum Production Rate : 0.006599 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.041582
  EX_glc__D_e : 5.000000
  EX_nh4_e : 3.244806
  EX_pi_e : 0.267718
  EX_k_e : 0.052293
  EX_so4_e : 0.035917
  EX_mg2_e : 0.002325
  EX_fe2_e : 0.002158
  EX_cl_e : 0.001395
  EX_ca2_e : 0.001395
  EX_cu2_e : 0.000930
  EX_mn2_e : 0.000930
  EX_mobd_e : 0.000930
  EX_zn2_e : 0.000930
  EX_cobalt2_e : 0.000930

Product: (mmol/gDw/h)
  EX_h2o_e : 25.439799
  EX_co2_e : 17.309298
  EX_h_e : 2.510901
  EX_acald_e : 0.520218
  EX_glyclt_e : 0.014722
  Auxiliary production reaction : 0.006599
  DM_hmfurn_c : 0.000131

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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