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Table 2 Vector weights calculated for amino acid substitutions.

From: Engineering proteinase K using machine learning and synthetic genes

 

RR

Lasso

PLSR

SVMR

Substitution

M

σ

M

σ

M

σ

M

σ

S107D

-0.03

0.13

0.00

0.02

-0.70

0.26

-0.16

0.13

S123A

-1.00

0.13

-0.41

0.35

-1.42

0.23

-0.93

0.14

I132V

0.04

0.44

0.04

0.55

0.32

0.76

-0.34

0.29

M145F

-1.46

0.19

-2.27

0.49

-1.98

0.32

-1.58

0.20

Y151A

1.18

0.23

0.91

0.23

1.66

0.37

0.91

0.15

V167I

-0.97

0.13

-1.09

0.15

-1.10

0.17

-0.79

0.14

L180I

-0.23

0.15

-0.05

0.10

-0.35

0.19

-0.36

0.13

Y194S

0.27

0.20

0.00

0.01

0.94

0.73

0.01

0.14

A199S

-1.16

0.39

-1.09

0.46

-2.66

0.98

-0.86

0.21

K208H

0.28

0.15

0.07

0.12

0.52

0.18

0.36

0.17

R237N

-0.93

0.09

-0.91

0.13

-1.21

0.12

-0.86

0.15

V267I

-0.48

0.11

-0.32

0.14

-0.68

0.13

-0.16

0.12

S273T

0.12

0.14

0.01

0.06

0.28

0.19

-0.05

0.17

G293A

1.95

0.13

2.24

0.14

2.10

0.17

1.70

0.13

K332R

0.07

0.13

-0.01

0.05

0.02

0.14

0.09

0.15

S337N

-0.02

0.14

0.03

0.09

-0.20

0.15

0.03

0.14

P355S

-1.08

0.12

-1.20

0.15

-1.25

0.13

-1.10

0.15

 

LPSVMR

LPBoostR

MR

ORMR

Substitution

M

σ

M

σ

M

σ

M

σ

S107D

-0.01

0.20

-0.02

0.21

-0.35

0.24

-0.35

0.24

S123A

-0.41

0.43

-0.40

0.41

0.52

0.93

0.52

0.93

I132V

0.22

0.69

0.18

0.56

2.61

0.91

2.61

0.91

M145F

-2.39

0.53

-2.39

0.53

-5.33

1.05

-5.33

1.05

Y151A

0.82

0.24

0.82

0.25

0.64

0.24

0.64

0.24

V167I

-0.99

0.24

-0.98

0.23

-1.63

0.24

-1.63

0.24

L180I

-0.20

0.16

-0.19

0.16

0.60

0.23

0.60

0.23

Y194S

-0.02

0.08

0.21

0.38

4.59

2.10

4.59

2.10

A199S

-0.49

0.33

-0.73

0.54

-4.92

2.03

-4.92

2.03

K208H

0.16

0.18

0.14

0.18

0.01

0.13

0.01

0.13

R237N

-0.96

0.29

-0.96

0.29

-1.59

0.57

-1.59

0.57

V267I

-0.41

0.23

-0.41

0.23

-1.33

0.14

-1.33

0.14

S273T

0.19

0.33

0.15

0.28

0.96

0.58

0.96

0.58

G293A

2.18

0.25

2.20

0.25

3.20

0.14

3.20

0.14

K332R

0.12

0.19

0.14

0.21

-0.33

0.13

-0.33

0.13

S337N

0.27

0.28

0.26

0.28

0.34

0.59

0.34

0.59

P355S

-1.34

0.35

-1.35

0.34

-1.95

0.57

-1.95

0.57

  1. Mean (M) and standard deviation (σ) values are shown for the 19 substitutions for which weights were calculated using machine learning. The values were calculated from 1000 subsamples of the variants with measurable activity from sets 1 and 2, where 5 variant sequences were randomly omitted from each subsample.