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Table 6 Performance of the SVM model for each virus in the 1725 viral siRNA dataset using leave one virus out cross validation (LOVOCV) method

From: VIRsiRNApred: a web server for predicting inhibition efficacy of siRNAs targeting human viruses

S.no.

Virus

No. of siRNA

Pearson correlation coefficient*

Training

Validation

 Training#

 Validation

1

Influenza A Virus

1473

252

0.48

0.46

2

Human Papillomavirus

1513

212

0.43

0.40

3

John Cunningham Virus

1517

208

0.43

0.41

4

Respiratory Syncytial Virus

1577

148

0.45

0.41

5

Human Immunodeficiency Virus

1590

135

0.46

0.42

6

Metapneumovirus

1610

115

0.48

0.43

7

Hepatitis B Virus

1638

87

0.51

0.45

8

Hepatitis C Virus

1645

80

0.51

0.44

9

Ebola Zaire Virus

1652

73

0.49

0.43

10

Human Coxsackievirus

1653

72

0.50

0.47

11

West Nile Virus

1685

40

0.51

0.47

12

Bovine Papillomavirus

1689

36

0.52

0.48

13

Influenza B Virus

1689

36

0.52

0.46

14

SARS Coronavirus

1691

34

0.53

0.48

15

Herpes Simplex Virus

1704

21

0.54

0.48

16

Human Rhinovirus

1704

21

0.54

0.46

17

Orthopoxvirus

1705

20

0.55

0.49

18

Measles Virus

1709

16

0.56

0.51

19

Hepatitis Delta Virus

1710

15

0.56

0.51

20

Reovirus

1712

13

0.56

0.51

21

African Swine Fever Virus

1714

11

0.55

0.49

22

Dengue Virus

1714

11

0.56

0.49

23

Hazara Nairovirus

1714

11

0.56

0.49

24

Enterovirus

1717

8

0.56

0.50

25

Epstein-Barr Virus

1719

6

0.56

0.52

26

Hepatitis A Virus

1719

6

0.56

0.51

27

Human Metapneumovirus

1719

6

0.58

0.51

28

Hepatitis E Virus

1720

5

0.58

0.53

29

Japanese Encephalitis Virus

1720

5

0.58

0.51

30

St. Louis Encephalitis

1720

5

0.58

0.53

31

Junin Virus

1721

4

0.58

0.52

32

Yellow Fever Virus

1721

4

0.58

0.52

33

Lassa Virus

1722

3

0.58

0.52

34

Rotavirus

1723

2

0.58

0.53

35

Sendai Virus

1723

2

0.58

0.51

36

Marburg Virus

1724

1

0.58

0.52

37

Polio Virus

1724

1

0.58

0.53

  1. *Pearson Correlation Coefficient (PCC) is the correlation between experimental and predicted viral siRNA efficacy.
  2. #During 10-fold cross validation training, best performing viral siRNA sequence feature combining composition (mono to penta nucleotide frequency), binary and thermo features: 6 + 7 + 9) were used.