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Table 1 Results of parameter enrichment test for the NFBLB model

From: Understanding system dynamics of an adaptive enzyme network from globally profiled kinetic parameters

Parameter 1stclass 2ndclass 3rdclass 4thclass 5thclass
  [10-3, 10-2]a [10-2, 10-1] [10-1, 100] [100, 101] [101,102]
  x b y c p d x y p d x y p d x y p d x y p d
k AB        32 49,999 8.5E-01 42 50,001 1.0E-01    
k AC        32 50,000 8.5E-01 42 50,000 1.0E-01    
k BA        24 50,000 1.0E + 00 50 50,000 7.6E-04    
k FBB        73 50,000 <2.2E-16 1 50,000 1.0E + 00    
k FCC        35 50,000 6.4E-01 39 50,000 2.8E-01    
K AB 44 19,998 9.4E-11 25 19,999 1.7E-03 4 20,000 1.0E + 00 1 20,000 1.0E + 00 0 20,000 1.0E + 00
K AC 26 20,000 7.4E-04 17 19,999 2.1E-01 17 20,000 2.1E-01 6 20,000 1.0E + 00 8 20,000 9.7E-01
K BA 33 19,994 4.3E-07 28 20,000 1.1E-04 11 20,000 8.3E-01 2 20,000 1.0E + 00 0 20,000 1.0E + 00
K FBB 57 19,997 <2.2E-16 17 19,999 2.1E-01 0 19,999 1.0E + 00 0 20,000 1.0E + 00 0 20,000 1.0E + 00
K FCC 9 19,999 9.4E-01 23 19,999 8.0E-03 32 20,000 1.5E-06 9 20,000 9.4E-01 1 20,000 1.0E + 00
  1. aIn square brackets are the intervals of parameter values for the indicated class.
  2. bOut of M (=74) kinetic solutions, x is the number of solutions with the value of the indicated parameter belonging to the indicated value class.
  3. cOut of a total of N (=105) parameter sets sampled, y is the number of sets with the value of the indicated parameter belonging to the indicated value class.
  4. dAn enrichment test is considered statistically significant if its p-value < 10-3 and is highlighted in boldface. Based on p-values (using 10-3 as threshold), an enrichment state, i.e. motif, was assigned.