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 : ps160_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (71 of 76: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 34
  Gene deletion: b4467 b2242 b0474 b2518 b2744 b1278 b2781 b1004 b3713 b1109 b0046 b1612 b1611 b4122 b1759 b2210 b4374 b4161 b0675 b2361 b2291 b1415 b1701 b1805 b4138 b4123 b0621 b2197 b3028 b3918 b1206 b2285 b3893 b1474   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.469554 (mmol/gDw/h)
  Minimum Production Rate : 0.247993 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 994.032749
  EX_o2_e : 274.281207
  EX_glc__D_e : 10.000000
  EX_nh4_e : 5.985102
  EX_pi_e : 0.700927
  EX_so4_e : 0.118243
  EX_k_e : 0.091654
  EX_mg2_e : 0.004073
  EX_ca2_e : 0.002444
  EX_cl_e : 0.002444
  EX_cu2_e : 0.000333
  EX_mn2_e : 0.000324
  EX_zn2_e : 0.000160
  EX_ni2_e : 0.000152
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992458
  EX_h2o_e : 543.555112
  EX_co2_e : 28.012728
  EX_succ_e : 0.489647
  EX_ura_e : 0.332983
  Auxiliary production reaction : 0.247993
  DM_5drib_c : 0.000106
  DM_4crsol_c : 0.000105

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