**2.1 Ligand CPPs collection**

CPPsite2.0 is a simple-to-use updated database that presents miscellaneous information about CPPs and includes 1855 entries [28]. In this study, CPPsite2.0 database was used for selection and extraction of the cell-penetrating peptide sequences. By using AVPpred web server, which is the first antiviral peptides prediction algorithm [29], CPPs that had antiviral properties were chosen (**Table 1** lists the selected CPPs). Default machine learning technique was SVM. Threshold 50 was used for screening. Four parameters used in AVPpred server for prediction of the viral features including:

1.Motif search using MEME/MAST (Bailey and Elkan 1994; Bailey, Boden et al. 2009)


2.Amino acid composition

#### **Table 1.**

*List of selected CPPs, their sequences and lengths.*
