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 : gtp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (51 of 70: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3399 b4069 b4384 b2744 b3708 b3008 b2297 b2458 b0030 b2883 b1982 b2797 b3117 b1814 b4471 b2440 b1623 b0261 b0411 b4381 b2406 b0114 b1539 b2492 b0904 b1533 b3927 b0494 b3662   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.751202 (mmol/gDw/h)
  Minimum Production Rate : 0.298551 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 24.597134
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.605678
  EX_pi_e : 1.620268
  EX_so4_e : 0.189168
  EX_k_e : 0.146629
  EX_fe2_e : 0.012065
  EX_mg2_e : 0.006517
  EX_ca2_e : 0.003910
  EX_cl_e : 0.003910
  EX_cu2_e : 0.000533
  EX_mn2_e : 0.000519
  EX_zn2_e : 0.000256
  EX_ni2_e : 0.000243
  EX_cobalt2_e : 0.000019

Product: (mmol/gDw/h)
  EX_h2o_e : 49.321623
  EX_co2_e : 25.304728
  EX_h_e : 8.235340
  EX_ac_e : 0.437339
  Auxiliary production reaction : 0.298551
  DM_5drib_c : 0.000504
  DM_4crsol_c : 0.000168

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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