Antiviral peptides (AVPs) have garnered wide spread acceptance as alternative therapeutic strategy to fight viral infections.
AVP-PEpred is a freely accessible regression based quantitative efficacy predictior of peptide antiviral activity.
Developed using 751 unique peptides checked for their percent antiviral activity from dedicated databases, AVPdb -Database of Antiviral Peptides
and HIPdb -Database of HIV inhibiting peptides.
We have also utilized important features like amino acid composition, binary and physicochemical properties etc. for model development.
SVM and RF have been employed.
Highly user friendly web interface.
Additional analysis tools including Peptide tinker, Customized mutations, Motif finder, Property calculator etc have been integrated.
Our aim is to assist the biologists working in the area of peptide-based therapeutics by cutting the cost & time efforts.