Physiochemical properties of amino acid features have frequently been used in reliable statistical method for classification of antiviral proteins. Antiviral proteins were protecting host cells from the entry of highly pathogenic viruses or deadly viruses. Viral recognization and host immunity against viral entry is still emerging research field in recent years. So we focused more on antiviral protein and its specificity. The protein structural features like amino acid composition ratio, hydrophobicity, hydrophilicity, positive charge, and negative charge calculated for viral and antiviral protein PROFEAT online tool. On the basis of physical properties, analysis was done with Pearson 2-tailed correlation using SPSS 22.0 software. Our proposed method will provide insight into important features and characteristics to identify novel antiviral proteins which inhibits viral replication during viral infection.