AntiBP2: improved version of antibacterial peptide prediction

Background: Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved as drug by FDA, which has prompted an interest in these antibacterial peptides. In our recent study we analyzed 999 antibacterial peptides, which were collected from Antibacterial Peptide Database (APD). We have also developed methods to predict and classify these antibacterial peptides using Support Vector Machine (SVM). Results: During analysis we observed that certain residues are preferred over other in antibacterial peptide, particularly at the N and C terminus. These observation and increased data of antibacterial peptide in APD encouraged us to again develop a new and more robust method for predicting antibacterial peptides in protein from their amino acid sequence or given peptide have antibacterial properties or not. First, the binary patterns of the 15 N terminus residues were used for predicting ant...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Sneh Lata, Nitish K. Mishra, Gajendra P. S. Raghava
• Keywords: Antibacterial Peptide, Antibacterial Peptide Database, BMCBI 2010, Innate Immune System