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 : dtdpglu_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (63 of 74: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b3916 b3399 b1241 b0351 b2744 b1278 b3614 b0910 b4152 b2926 b2781 b1850 b1612 b1611 b4122 b1759 b1200 b3449 b4374 b0675 b2361 b2291 b4138 b4123 b0621 b0452 b1723 b3918 b0418 b1206 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.610523 (mmol/gDw/h)
  Minimum Production Rate : 0.045932 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.056671
  EX_o2_e : 276.940094
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.275186
  EX_pi_e : 0.680778
  EX_so4_e : 0.153742
  EX_k_e : 0.119170
  EX_mg2_e : 0.005296
  EX_ca2_e : 0.003178
  EX_cl_e : 0.003178
  EX_cu2_e : 0.000433
  EX_mn2_e : 0.000422
  EX_zn2_e : 0.000208
  EX_ni2_e : 0.000197
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.898040
  EX_h2o_e : 547.877472
  EX_co2_e : 28.083869
  EX_succ_e : 0.636648
  EX_ura_e : 0.110556
  EX_pheme_e : 0.092154
  Auxiliary production reaction : 0.045932
  DM_5drib_c : 0.000137
  DM_4crsol_c : 0.000136

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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