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 : pg160_p
List of minimal gene deletion strategies (Download)

Gene deletion strategy (49 of 68: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b2836 b0474 b2518 b3831 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4161 b2342 b3845 b4138 b4123 b0621 b4381 b2406 b2197 b3918 b4042 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.555316 (mmol/gDw/h)
  Minimum Production Rate : 0.293287 (mmol/gDw/h)

 Substrate: (mmol/gDw/h)
  EX_o2_e : 17.466250
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.784970
  EX_pi_e : 0.828949
  EX_so4_e : 0.139840
  EX_k_e : 0.108394
  EX_fe2_e : 0.008919
  EX_mg2_e : 0.004817
  EX_ca2_e : 0.002890
  EX_cl_e : 0.002890
  EX_cu2_e : 0.000394
  EX_mn2_e : 0.000384
  EX_zn2_e : 0.000189
  EX_ni2_e : 0.000179
  EX_cobalt2_e : 0.000014

Product: (mmol/gDw/h)
  EX_h2o_e : 39.969402
  EX_co2_e : 22.170376
  EX_h_e : 6.754940
  EX_succ_e : 0.579079
  EX_ura_e : 0.393801
  Auxiliary production reaction : 0.293287
  DM_5drib_c : 0.000125
  DM_4crsol_c : 0.000124

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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