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 : thymd_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (66 of 66: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 35
  Gene deletion: b2242 b3553 b4382 b0474 b2518 b3831 b4384 b1278 b2781 b0030 b1004 b3713 b1109 b0046 b1612 b1611 b4122 b0651 b2162 b1759 b2210 b1033 b4161 b1415 b4138 b4123 b0621 b2406 b0452 b2492 b0904 b3028 b3918 b1206 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.562336 (mmol/gDw/h)
  Minimum Production Rate : 0.296904 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 30.590985
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.870738
  EX_pi_e : 0.542433
  EX_so4_e : 0.141607
  EX_k_e : 0.109764
  EX_fe2_e : 0.009032
  EX_mg2_e : 0.004878
  EX_ca2_e : 0.002927
  EX_cl_e : 0.002927
  EX_cu2_e : 0.000399
  EX_mn2_e : 0.000389
  EX_zn2_e : 0.000192
  EX_ni2_e : 0.000182
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 48.923492
  EX_co2_e : 31.196557
  EX_h_e : 7.137324
  EX_succ_e : 0.586399
  Auxiliary production reaction : 0.296904
  EX_ura_e : 0.101875
  DM_5drib_c : 0.000127
  DM_4crsol_c : 0.000125

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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