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 : dhpmp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (35 of 116: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 26
  Gene deletion: b3399 b4382 b1241 b0351 b4069 b4384 b2744 b3115 b1849 b2296 b3617 b0160 b3665 b0675 b2361 b2291 b2406 b0112 b3654 b3714 b3664 b0114 b0529 b2492 b0904 b1517   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.457118 (mmol/gDw/h)
  Minimum Production Rate : 1.753338 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 24.021408
  EX_nh4_e : 13.703531
  EX_glc__D_e : 10.000000
  EX_pi_e : 2.194277
  EX_so4_e : 0.115112
  EX_k_e : 0.089226
  EX_fe2_e : 0.007342
  EX_mg2_e : 0.003966
  EX_ca2_e : 0.002379
  EX_cl_e : 0.002379
  EX_cu2_e : 0.000324
  EX_mn2_e : 0.000316
  EX_zn2_e : 0.000156
  EX_ni2_e : 0.000148
  EX_cobalt2_e : 0.000011

Product: (mmol/gDw/h)
  EX_h2o_e : 51.971516
  EX_co2_e : 20.613562
  EX_h_e : 15.388257
  EX_ac_e : 2.421380
  Auxiliary production reaction : 1.753338
  DM_mththf_c : 0.000205
  DM_5drib_c : 0.000103
  DM_4crsol_c : 0.000102

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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