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 : 6hmhpt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (34 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b0871 b0160 b1238 b1982 b3616 b3589 b0675 b2361 b0261 b0507 b4381 b0112 b0114 b0529 b2492 b0904   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.550495 (mmol/gDw/h)
  Minimum Production Rate : 0.433311 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 21.398892
  EX_nh4_e : 10.820310
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.531011
  EX_so4_e : 0.138626
  EX_k_e : 0.107453
  EX_fe2_e : 0.008842
  EX_mg2_e : 0.004776
  EX_ca2_e : 0.002865
  EX_cl_e : 0.002865
  EX_cu2_e : 0.000390
  EX_mn2_e : 0.000380
  EX_zn2_e : 0.000188
  EX_ni2_e : 0.000178
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 47.810985
  EX_co2_e : 20.813007
  EX_h_e : 9.936860
  EX_thymd_e : 1.353152
  Auxiliary production reaction : 0.433311
  DM_oxam_c : 0.002149
  DM_5drib_c : 0.001903
  DM_4crsol_c : 0.001656
  EX_glyclt_e : 0.001533

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