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 : nadph_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (75 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 41
  Gene deletion: b4384 b3708 b3008 b3752 b0871 b2779 b2925 b2097 b2407 b1238 b0121 b1982 b2797 b3117 b1814 b4471 b3946 b0825 b0261 b0507 b3709 b4381 b2406 b3161 b0112 b2975 b0114 b3603 b0886 b0529 b1539 b2492 b0904 b0591 b2578 b1533 b3927 b3821 b4141 b1798 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.620963 (mmol/gDw/h)
  Minimum Production Rate : 0.141380 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 26.313791
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.704778
  EX_pi_e : 1.026584
  EX_so4_e : 0.156371
  EX_k_e : 0.121208
  EX_fe2_e : 0.009973
  EX_mg2_e : 0.005387
  EX_ca2_e : 0.003232
  EX_cl_e : 0.003232
  EX_cu2_e : 0.000440
  EX_mn2_e : 0.000429
  EX_zn2_e : 0.000212
  EX_ni2_e : 0.000201
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 45.827286
  EX_co2_e : 26.434776
  EX_h_e : 8.113568
  EX_glyc__R_e : 1.693854
  Auxiliary production reaction : 0.142533
  DM_oxam_c : 0.000695
  DM_5drib_c : 0.000417
  DM_4crsol_c : 0.000138

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