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 : ade_e
List of minimal gene deletion strategies (Download)

Gene deletion strategy (117 of 133: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 29
  Gene deletion: b3399 b4382 b4269 b0493 b3588 b3003 b3011 b0474 b2518 b1241 b0351 b2502 b4384 b2744 b0871 b2781 b0099 b2883 b3616 b3589 b1623 b3665 b0114 b0529 b2492 b0904 b2954 b1511 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.497955 (mmol/gDw/h)
  Minimum Production Rate : 0.810035 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.366421
  EX_o2_e : 283.350763
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.428043
  EX_pi_e : 0.480330
  EX_so4_e : 0.125395
  EX_k_e : 0.097197
  EX_mg2_e : 0.004320
  EX_cl_e : 0.002592
  EX_ca2_e : 0.002592
  EX_cu2_e : 0.000353
  EX_mn2_e : 0.000344
  EX_zn2_e : 0.000170
  EX_ni2_e : 0.000161
  EX_cobalt2_e : 0.000012

Product: (mmol/gDw/h)
  EX_fe3_e : 999.992002
  EX_h2o_e : 554.260206
  EX_co2_e : 33.014248
  EX_acald_e : 1.247853
  EX_ade_e : 0.810035
  DM_mththf_c : 0.000223
  DM_5drib_c : 0.000112
  DM_4crsol_c : 0.000111

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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