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 : 2p4c2me_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (105 of 116: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 36
  Gene deletion: b4467 b2242 b0474 b2518 b2744 b2781 b1004 b3713 b1109 b0046 b1612 b1611 b4122 b0907 b1779 b1759 b2210 b2440 b4374 b4161 b0675 b2361 b2291 b1415 b4138 b4123 b0621 b2492 b0904 b2197 b3028 b3918 b1912 b1206 b2285 b3924   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.449575 (mmol/gDw/h)
  Minimum Production Rate : 0.056241 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 37.077158
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.730447
  EX_pi_e : 0.602385
  EX_so4_e : 0.113212
  EX_k_e : 0.087754
  EX_fe2_e : 0.007221
  EX_mg2_e : 0.003900
  EX_ca2_e : 0.002340
  EX_cl_e : 0.002340
  EX_cu2_e : 0.000319
  EX_mn2_e : 0.000311
  EX_zn2_e : 0.000153
  EX_ni2_e : 0.000145
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 51.686808
  EX_co2_e : 37.470672
  EX_h_e : 5.650095
  EX_succ_e : 0.468814
  EX_ura_e : 0.262575
  EX_etha_e : 0.181200
  Auxiliary production reaction : 0.056241
  EX_dxylnt_e : 0.000201
  DM_5drib_c : 0.000101
  DM_4crsol_c : 0.000100

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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