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 : pe161_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (72 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 31
  Gene deletion: b1054 b4382 b0474 b2518 b3831 b4384 b1278 b4152 b2781 b0030 b3844 b1612 b1611 b4122 b0651 b2162 b1759 b4161 b4138 b4123 b0621 b2913 b2406 b0452 b2197 b3825 b3918 b0418 b1206 b2285 b3924   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.455032 (mmol/gDw/h)
  Minimum Production Rate : 0.020810 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 995.617773
  EX_h_e : 989.855875
  EX_o2_e : 285.725806
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.580492
  EX_pi_e : 0.459737
  EX_so4_e : 0.114586
  EX_k_e : 0.088819
  EX_mg2_e : 0.003947
  EX_ca2_e : 0.002368
  EX_cl_e : 0.002368
  EX_cu2_e : 0.000323
  EX_mn2_e : 0.000314
  EX_zn2_e : 0.000155
  EX_ni2_e : 0.000147
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_fe3_e : 995.610464
  EX_h2o_e : 549.377653
  EX_co2_e : 37.364293
  EX_succ_e : 0.474504
  EX_ura_e : 0.322685
  Auxiliary production reaction : 0.020810
  DM_5drib_c : 0.000102
  DM_4crsol_c : 0.000101

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
Contact