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 (36 of 82: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3553 b1241 b0351 b4069 b4384 b2744 b2297 b2458 b0030 b2407 b1982 b3616 b3589 b1033 b4374 b2361 b2291 b0261 b0411 b0507 b0112 b0114 b0529 b2492 b0904 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.465355 (mmol/gDw/h)
  Minimum Production Rate : 1.783683 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 24.273684
  EX_nh4_e : 13.944735
  EX_glc__D_e : 10.000000
  EX_pi_e : 0.448885
  EX_so4_e : 0.117186
  EX_k_e : 0.090834
  EX_fe2_e : 0.007474
  EX_mg2_e : 0.004037
  EX_cl_e : 0.002422
  EX_ca2_e : 0.002422
  EX_cu2_e : 0.000330
  EX_mn2_e : 0.000322
  EX_zn2_e : 0.000159
  EX_ni2_e : 0.000150
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 50.041503
  EX_co2_e : 19.914881
  EX_h_e : 17.443605
  EX_ac_e : 2.464283
  EX_glyclt_e : 1.783994
  Auxiliary production reaction : 1.783683
  DM_oxam_c : 0.000521
  DM_5drib_c : 0.000312
  DM_4crsol_c : 0.000104

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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