MetNetComp Database [1] / Minimal gene deletions

Minimal gene deletions for simulation-based growth-coupled production. You can also see maximal gene deletions.

Model : iML1515 [2].
Target metabolite : sbt6p_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (59 of 83: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: b3553 b1478 b4382 b1241 b0351 b4384 b0871 b2925 b2097 b0030 b2407 b1004 b3713 b1109 b0046 b3236 b1779 b2690 b1033 b3665 b2799 b3945 b1602 b3915 b3654 b3714 b3664 b0529 b2492 b0904 b3927 b1380 b2660 b0606 b0221 b2285 b1011 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.373886 (mmol/gDw/h)
  Minimum Production Rate : 0.042366 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.279935
  EX_o2_e : 280.382329
  EX_glc__D_e : 10.000000
  EX_nh4_e : 4.037935
  EX_pi_e : 0.403018
  EX_so4_e : 0.094152
  EX_k_e : 0.072980
  EX_mg2_e : 0.003243
  EX_ca2_e : 0.001946
  EX_cl_e : 0.001946
  EX_cu2_e : 0.000265
  EX_mn2_e : 0.000258
  EX_zn2_e : 0.000127
  EX_ni2_e : 0.000121

Product: (mmol/gDw/h)
  EX_fe3_e : 999.993995
  EX_h2o_e : 543.712505
  EX_co2_e : 28.563569
  EX_pyr_e : 5.278647
  Auxiliary production reaction : 0.042366
  DM_5drib_c : 0.000084
  DM_4crsol_c : 0.000083

Visualization
  1. Download JSON file.
  2. Go to Escher site [3].
  3. Select "Data > Load reaction data" and apply the downloaded file.

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: 21-Sep-2023
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