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Table 2 Estimated patterns in distinguishing dynamic from static enzymes.

From: Distinguishing enzymes using metabolome data for the hybrid dynamic/static method

E. coli

w

1.000

 

0.750

 

0.500

 

0.250

 

0.100

 

0.075

 

0.050

 

0.025

 

0.010

 

Noise

-

+

-

+

-

+

-

+

-

+

-

+

-

+

-

+

-

+

Fitness (-)

7.83 × 10-1

3.37

7.13 × 10-1

3.30

6.42 × 10-1

3.23

5.71 × 10-1

3.16

5.06 × 10-1

3.09

4.94 × 10-1

3.08

4.82 × 10-1

3.07

4.69 × 10-1

3.05

4.59 × 10-1

3.04

PGI

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

D

D

PFK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

ALDO

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

TIS

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

GAPDH

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGluMu

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

ENO

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGM

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

D

D

G6PDH

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGDH

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

Ru5P

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

R5PI

S

S

S

S

S

S

D

S

D

D

D

D

D

D

D

D

D

D

TKa

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

S

TKb

S

S

S

S

S

S

D

D

D

D

D

D

D

D

D

D

D

D

TA

S

S

S

S

S

S

S

S

D

D

D

D

D

D

D

S

D

S

S. cerevisiae

                  

w

1000

 

0.750

 

0.500

 

0.250

 

0.100

 

0.075

 

0.050

 

0.025

 

0.010

 

Noise

-

+

-

+

-

+

-

+

-

+

-

+

-

+

-

+

-

+

Fitness (-)

3.35 × 10-1

1.75 × 101

2.64 × 10-1

1.75 × 101

1.94 × 10-1

1.74 × 101

1.10 × 10-1

1.73 × 101

5.42 × 10-2

1.73 × 101

4.17 × 10-2

1.73 × 101

4.17 × 10-2

1.73 × 101

1.68 × 10-2

1.72 × 101

8.02 × 10-3

1.72 × 101

PGI

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PFK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

ALDO

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

TIS

S

S

S

D

S

D

D

D

D

D

D

D

D

D

D

D

D

D

GAPDH

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGluMu

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

ENO

D

S

D

S

D

S

D

S

D

S

D

S

D

S

D

S

D

S

PK

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGM

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

S

G6PDH

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

PGDH

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

Ru5P

S

S

S

S

S

S

S

D

D

D

D

D

D

D

D

D

D

D

R5PI

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

D

D

TKa

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

S

TKb

S

S

S

S

S

S

S

S

D

S

D

S

D

S

D

S

D

S

TA

S

S

S

S

S

S

S

S

S

S

S

S

S

D

S

D

D

D

  1. w is the weighting coefficient in the fitness function (Eq. (5)), and the symbols D and S denote enzymes in the dynamic and static modules, respectively. The system boundary enzymes were omitted from the table because all system boundary enzymes were represented as dynamic enzymes.