APD2: the updated antimicrobial peptide database and its application in peptide design

Area of Science:

• Biochemistry
• Bioinformatics
• Molecular Biology

Background:

• The Antimicrobial Peptide Database (APD) is a crucial resource for antimicrobial peptide research.
• Previous versions have facilitated the study of these molecules, but expansion and enhanced functionality were needed.

Purpose of the Study:

• To update and expand the APD with new entries and improved search capabilities.
• To analyze amino acid residue frequencies in antimicrobial peptides from various sources.
• To demonstrate the utility of the database in designing novel antimicrobial peptides.

Main Methods:

• Expanded the APD to include 1228 entries, categorizing peptides by function (anticancer, antiviral, antifungal, antibacterial).
• Implemented advanced search filters for peptide families, sources, modifications, and binding targets.
• Performed statistical analysis of amino acid residue frequencies across different peptide origins.
• Utilized identified residue patterns for database-aided design of new peptides.

Main Results:

• The APD2 now hosts 1228 antimicrobial peptides, including 65 anticancer, 76 antiviral, 327 antifungal, and 944 antibacterial.
• Identified distinct frequently occurring amino acid residues for bacterial, plant, insect, and amphibian peptides.
• Successfully designed three novel peptides, with GLK-19 exhibiting enhanced activity against Escherichia coli compared to LL-37.

Conclusions:

• APD2 provides a comprehensive and searchable resource for antimicrobial peptides.
• Amino acid composition analysis offers insights into peptide structure-activity relationships.
• Database-aided design is an effective strategy for developing novel antimicrobial agents.