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 : nicrnt_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (64 of 80: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b4382 b4384 b2744 b1278 b3614 b0910 b4152 b2781 b1612 b1611 b4122 b1779 b1759 b4374 b0675 b4138 b4123 b0621 b0755 b3612 b0529 b3918 b0418 b1206 b2285   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.519575 (mmol/gDw/h)
  Minimum Production Rate : 0.219185 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 993.616249
  EX_o2_e : 282.992014
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.129093
  EX_pi_e : 0.720370
  EX_so4_e : 0.130839
  EX_k_e : 0.101417
  EX_mg2_e : 0.004507
  EX_ca2_e : 0.002704
  EX_cl_e : 0.002704
  EX_cu2_e : 0.000368
  EX_mn2_e : 0.000359
  EX_zn2_e : 0.000177
  EX_ni2_e : 0.000168
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_fe3_e : 999.991655
  EX_h2o_e : 550.037305
  EX_co2_e : 33.498481
  EX_succ_e : 0.541809
  Auxiliary production reaction : 0.219185
  EX_ura_e : 0.149271
  DM_5drib_c : 0.000117
  DM_4crsol_c : 0.000116

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.

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Last updated: 21-Sep-2023
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