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 : pgp160_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (70 of 98: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b1054 b2836 b0474 b2518 b3831 b1278 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4161 b4138 b4123 b0621 b4381 b2406 b2197 b3918 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.555113 (mmol/gDw/h)
  Minimum Production Rate : 0.293180 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.481788
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.782492
  EX_pi_e : 1.121826
  EX_so4_e : 0.139789
  EX_k_e : 0.108354
  EX_fe2_e : 0.008916
  EX_mg2_e : 0.004816
  EX_ca2_e : 0.002889
  EX_cl_e : 0.002889
  EX_cu2_e : 0.000394
  EX_mn2_e : 0.000384
  EX_zn2_e : 0.000189
  EX_ni2_e : 0.000179
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 40.269900
  EX_co2_e : 22.184196
  EX_h_e : 6.752473
  EX_succ_e : 0.578868
  EX_ura_e : 0.393657
  Auxiliary production reaction : 0.293180
  DM_5drib_c : 0.000125
  DM_4crsol_c : 0.000124

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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