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 : accoa_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (21 of 81: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 38
  Gene deletion: b3399 b4269 b0493 b3588 b3003 b3011 b1241 b0351 b2744 b3708 b3008 b0871 b3617 b0160 b0517 b0120 b1982 b2797 b3117 b1814 b4471 b4374 b0675 b2361 b2291 b0261 b0507 b0112 b0114 b0886 b1539 b2492 b0904 b2578 b1533 b3821 b4141 b1798   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.550575 (mmol/gDw/h)
  Minimum Production Rate : 0.441309 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.597825
  EX_o2_e : 271.025913
  EX_glc__D_e : 10.000000
  EX_nh4_e : 9.043927
  EX_pi_e : 1.855015
  EX_so4_e : 0.579955
  EX_k_e : 0.107468
  EX_mg2_e : 0.004776
  EX_ca2_e : 0.002866
  EX_cl_e : 0.002866
  EX_cu2_e : 0.000390
  EX_mn2_e : 0.000380
  EX_zn2_e : 0.000188
  EX_ni2_e : 0.000178
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991157
  EX_h2o_e : 546.936560
  EX_co2_e : 23.555985
  EX_acald_e : 1.831647
  Auxiliary production reaction : 0.441309
  EX_alltn_e : 0.002149
  DM_5drib_c : 0.001903
  EX_glyclt_e : 0.001902
  DM_4crsol_c : 0.001656

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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