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 : 2agpg180_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (31 of 39: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b0474 b2518 b3831 b2744 b3752 b4152 b2781 b1612 b1611 b4122 b1759 b4374 b4161 b2361 b2291 b0411 b4138 b4123 b0621 b2197 b3825 b3918 b4042 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.620965 (mmol/gDw/h)
  Minimum Production Rate : 0.327960 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 992.436523
  EX_o2_e : 268.994644
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.587084
  EX_pi_e : 0.926946
  EX_so4_e : 0.156371
  EX_k_e : 0.121208
  EX_mg2_e : 0.005387
  EX_ca2_e : 0.003232
  EX_cl_e : 0.003232
  EX_cu2_e : 0.000440
  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_fe3_e : 999.990027
  EX_h2o_e : 541.859890
  EX_co2_e : 22.289624
  EX_succ_e : 0.647538
  EX_ura_e : 0.440356
  Auxiliary production reaction : 0.327960
  DM_5drib_c : 0.000140
  DM_4crsol_c : 0.000138

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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