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 : pgp141_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (43 of 47: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b4382 b0474 b2518 b3831 b4384 b3752 b4152 b2781 b3844 b1612 b1611 b4122 b1759 b4161 b4138 b4123 b0621 b2406 b3915 b2197 b3918 b0789 b1249 b1695 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.576312 (mmol/gDw/h)
  Minimum Production Rate : 0.303527 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.977865
  EX_o2_e : 268.011906
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.041498
  EX_pi_e : 1.162968
  EX_so4_e : 0.145127
  EX_k_e : 0.112492
  EX_mg2_e : 0.005000
  EX_ca2_e : 0.003000
  EX_cl_e : 0.003000
  EX_cu2_e : 0.000409
  EX_mn2_e : 0.000398
  EX_zn2_e : 0.000197
  EX_ni2_e : 0.000186
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990744
  EX_h2o_e : 541.352514
  EX_co2_e : 21.976282
  EX_succ_e : 0.600973
  EX_ura_e : 0.408690
  Auxiliary production reaction : 0.303527
  EX_hxa_e : 0.001698
  DM_5drib_c : 0.000130
  DM_4crsol_c : 0.000129

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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