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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.