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 : pg120_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (85 of 99: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3831 b2744 b1278 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4374 b2361 b2291 b0411 b4138 b4123 b0621 b2197 b3825 b3918 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.600998 (mmol/gDw/h)
  Minimum Production Rate : 0.317414 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.679726
  EX_o2_e : 267.773856
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.343122
  EX_pi_e : 0.897141
  EX_so4_e : 0.151343
  EX_k_e : 0.117311
  EX_mg2_e : 0.005214
  EX_ca2_e : 0.003128
  EX_cl_e : 0.003128
  EX_cu2_e : 0.000426
  EX_mn2_e : 0.000415
  EX_zn2_e : 0.000205
  EX_ni2_e : 0.000194
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990347
  EX_h2o_e : 540.856113
  EX_co2_e : 21.597714
  EX_succ_e : 0.626716
  EX_ura_e : 0.426197
  Auxiliary production reaction : 0.317414
  DM_5drib_c : 0.000135
  DM_4crsol_c : 0.000134

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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