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 : udpLa4n_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (65 of 84: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b2836 b0474 b2518 b3831 b4152 b2779 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4161 b0411 b4388 b4138 b4123 b0621 b4381 b2197 b3918 b1912 b1206 b3924   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.621306 (mmol/gDw/h)
  Minimum Production Rate : 0.077447 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 27.273930
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.668693
  EX_pi_e : 0.754209
  EX_so4_e : 0.156457
  EX_k_e : 0.121275
  EX_fe2_e : 0.009979
  EX_mg2_e : 0.005390
  EX_ca2_e : 0.003234
  EX_cl_e : 0.003234
  EX_cu2_e : 0.000441
  EX_mn2_e : 0.000429
  EX_zn2_e : 0.000212
  EX_ni2_e : 0.000201
  EX_cobalt2_e : 0.000016

Product: (mmol/gDw/h)
  EX_h2o_e : 47.761439
  EX_co2_e : 27.865659
  EX_h_e : 7.730895
  EX_succ_e : 0.647893
  EX_thymd_e : 0.250693
  EX_ura_e : 0.112458
  Auxiliary production reaction : 0.077447
  DM_5drib_c : 0.000140
  DM_4crsol_c : 0.000139

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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