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 : dtmp_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (65 of 70: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 32
  Gene deletion: b0474 b2518 b3831 b2744 b1278 b3752 b2930 b4232 b3697 b3925 b4152 b2779 b2781 b1612 b1611 b4122 b0907 b2690 b1759 b4374 b4161 b2361 b2291 b0411 b3945 b4138 b4123 b0621 b2197 b3918 b0418 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.606235 (mmol/gDw/h)
  Minimum Production Rate : 0.320180 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_fe2_e : 1000.000000
  EX_h_e : 991.265014
  EX_o2_e : 276.230531
  EX_glc__D_e : 10.000000
  EX_nh4_e : 7.407112
  EX_pi_e : 0.904958
  EX_so4_e : 0.152662
  EX_k_e : 0.118333
  EX_mg2_e : 0.005259
  EX_ca2_e : 0.003155
  EX_cl_e : 0.003155
  EX_cu2_e : 0.000430
  EX_mn2_e : 0.000419
  EX_zn2_e : 0.000207
  EX_ni2_e : 0.000196
  EX_cobalt2_e : 0.000015

Product: (mmol/gDw/h)
  EX_fe3_e : 999.990263
  EX_h2o_e : 546.312131
  EX_co2_e : 26.885909
  EX_ac_e : 1.030741
  EX_succ_e : 0.632177
  Auxiliary production reaction : 0.320180
  EX_ura_e : 0.109730
  DM_5drib_c : 0.000136
  DM_4crsol_c : 0.000135

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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