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 : mththf_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (37 of 41: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 37
  Gene deletion: b4467 b1478 b4269 b0493 b3588 b3003 b3011 b1241 b4384 b3752 b0871 b2926 b2407 b1004 b3713 b1109 b0046 b3236 b1982 b0411 b2799 b3945 b1602 b4381 b3915 b0529 b2492 b0904 b1380 b2660 b1601 b1518 b0606 b0221 b2285 b1011 b4209   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.421746 (mmol/gDw/h)
  Minimum Production Rate : 0.539786 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 36.808652
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.255167
  EX_pi_e : 0.406819
  EX_so4_e : 0.106205
  EX_k_e : 0.082322
  EX_fe3_e : 0.006775
  EX_mg2_e : 0.003659
  EX_ca2_e : 0.002195
  EX_cl_e : 0.002195
  EX_cu2_e : 0.000299
  EX_mn2_e : 0.000291
  EX_zn2_e : 0.000144
  EX_ni2_e : 0.000136
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 52.585149
  EX_co2_e : 36.050699
  EX_h_e : 7.201464
  EX_glyclt_e : 0.619172
  EX_ade_e : 0.540069
  DM_mththf_c : 0.539786
  DM_5drib_c : 0.000283
  DM_4crsol_c : 0.000094

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.

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Last updated: 21-Sep-2023
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