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 : cpg180_c
List of minimal gene deletion strategies (Download)

Gene deletion strategy (54 of 72: See next) for growth-coupled production (at least stoichioemetrically feasible)
  Gene deletion size : 25
  Gene deletion: b1855 b4382 b3831 b4384 b1278 b3614 b0910 b4152 b2781 b0030 b1612 b1611 b4122 b0651 b2162 b1759 b4138 b4123 b0621 b2406 b2197 b2835 b3918 b0494 b1206   (List of alternative genes)
  Computed by: RandTrimGdel [1] (Step 1, Step 2)

When growth rate is maximized,
  Growth Rate : 0.537252 (mmol/gDw/h)
  Minimum Production Rate : 0.283747 (mmol/gDw/h)

Substrate: (mmol/gDw/h)
  EX_o2_e : 16.579896
  EX_glc__D_e : 10.000000
  EX_nh4_e : 6.564255
  EX_pi_e : 0.801983
  EX_so4_e : 0.135291
  EX_k_e : 0.104868
  EX_fe2_e : 0.008629
  EX_mg2_e : 0.004661
  EX_cl_e : 0.002796
  EX_ca2_e : 0.002796
  EX_cu2_e : 0.000381
  EX_mn2_e : 0.000371
  EX_zn2_e : 0.000183
  EX_ni2_e : 0.000174
  EX_cobalt2_e : 0.000013

Product: (mmol/gDw/h)
  EX_h2o_e : 39.486009
  EX_co2_e : 21.698491
  EX_h_e : 6.535202
  EX_succ_e : 0.560242
  EX_ura_e : 0.380991
  Auxiliary production reaction : 0.283747
  DM_5drib_c : 0.000121
  DM_4crsol_c : 0.000120

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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