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 : itp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 90: 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 b3617 b1238 b2883 b1982 b0675 b2361 b0261 b0411 b4381 b0112 b0114 b0529 b2492 b0904 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.460659 (mmol/gDw/h)
  Minimum Production Rate : 0.363983 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 30.067257
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.970577
  EX_pi_e : 1.536304
  EX_so4_e : 0.116003
  EX_k_e : 0.089917
  EX_fe2_e : 0.007399
  EX_mg2_e : 0.003996
  EX_ca2_e : 0.002398
  EX_cl_e : 0.002398
  EX_cu2_e : 0.000327
  EX_mn2_e : 0.000318
  EX_zn2_e : 0.000157
  EX_ni2_e : 0.000149
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_h2o_e : 51.269617
  EX_co2_e : 29.754922
  EX_h_e : 6.500767
  EX_thymd_e : 0.769525
  Auxiliary production reaction : 0.363983
  DM_oxam_c : 0.000515
  DM_5drib_c : 0.000309
  DM_4crsol_c : 0.000103

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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