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 : ddca_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (59 of 76: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3831 b2744 b1278 b3614 b0910 b3752 b4152 b2297 b2458 b2781 b1612 b1611 b4122 b1759 b4374 b2361 b2291 b0411 b4138 b4123 b0621 b3736 b2197 b3918 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.119297 (mmol/gDw/h)
  Minimum Production Rate : 0.063006 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 981.124597
  EX_o2_e : 271.883903
  EX_glc__D_e : 10.000000
  EX_nh4_e : 1.457600
  EX_pi_e : 0.115075
  EX_so4_e : 0.030041
  EX_k_e : 0.023286
  EX_mg2_e : 0.001035
  EX_ca2_e : 0.000621
  EX_cl_e : 0.000621
  EX_cu2_e : 0.000085
  EX_mn2_e : 0.000082
  EX_zn2_e : 0.000041
  EX_ni2_e : 0.000039

Product: (mmol/gDw/h)
  EX_fe3_e : 999.998084
  EX_h2o_e : 530.567430
  EX_co2_e : 18.288888
  EX_succ_e : 8.706189
  Auxiliary production reaction : 0.126013
  EX_ura_e : 0.084599
  EX_ac_e : 0.069453
  EX_for_e : 0.000293
  DM_5drib_c : 0.000027
  DM_4crsol_c : 0.000027

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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