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 : nad_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (39 of 79: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 33
  Gene deletion: b3553 b1478 b1241 b4069 b4384 b3752 b2297 b2458 b2407 b3844 b1004 b3713 b1109 b0046 b3236 b1779 b0937 b1982 b1033 b0261 b0411 b2799 b3945 b1602 b2913 b4381 b0529 b2492 b0904 b1380 b0606 b2285 b1007   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.331677 (mmol/gDw/h)
  Minimum Production Rate : 0.521651 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 33.689223
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.235123
  EX_pi_e : 1.363240
  EX_so4_e : 0.083523
  EX_k_e : 0.064741
  EX_fe2_e : 0.005327
  EX_mg2_e : 0.002877
  EX_ca2_e : 0.001726
  EX_cl_e : 0.001726
  EX_cu2_e : 0.000235
  EX_mn2_e : 0.000229
  EX_zn2_e : 0.000113
  EX_ni2_e : 0.000107

Product: (mmol/gDw/h)
  EX_h2o_e : 52.547901
  EX_co2_e : 32.831220
  EX_h_e : 6.434520
  EX_ac_e : 1.298853
  Auxiliary production reaction : 0.521651
  EX_hxan_e : 0.000371
  DM_5drib_c : 0.000223
  DM_4crsol_c : 0.000074

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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