ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures

Area of Science:

• Biochemistry
• Parasitology
• Bioinformatics

Background:

• Antiparasitic peptides are crucial for combating parasitic infections.
• Existing data on these peptides are fragmented across various sources.
• A centralized, curated repository is needed for efficient research and drug design.

Purpose of the Study:

• To establish ParaPep, a comprehensive repository of experimentally validated antiparasitic peptides.
• To consolidate information on peptide sequences, structures, and activities.
• To provide user-friendly tools for data retrieval and analysis.

Main Methods:

• Data compilation from scientific literature, patents, and databases.
• Inclusion of peptides with natural, d-amino acids, and chemical modifications.
• Structure determination using PEPstr software.
• Integration of web tools for data fetching, analysis, and browsing.

Main Results:

• ParaPep contains 863 entries, including 519 unique antiparasitic peptides.
• Detailed information provided includes sequence, modifications, activity, origin, and mode of action.
• Peptides evaluated against Plasmodium, Leishmania, and Trypanosoma species.
• Structures of natural and modified peptides are available.

Conclusions:

• ParaPep serves as a valuable resource for researchers in antiparasitic drug discovery.
• The database facilitates the design of novel therapeutic peptides against parasitic diseases.
• Integrated tools enhance usability for data exploration and analysis.