A database of anti-coronavirus peptides

Area of Science:

• Biochemistry
• Molecular Biology
• Drug Discovery

Background:

• The COVID-19 pandemic, caused by SARS-CoV-2, necessitates effective antiviral strategies.
• Antimicrobial peptides (AMPs) with anti-coronavirus activity (ACovPs) show promise, but existing databases are limited.
• Current databases lack uniformity and comprehensive data on ACovPs, hindering research.

Purpose of the Study:

• To establish a specialized database, ACovPepDB, for anti-coronavirus peptides (ACovPs).
• To provide a centralized, standardized resource for ACovPs information.
• To facilitate research and development of new peptide-based therapeutics against coronaviruses.

Main Methods:

• Manual curation of 518 entries and 214 unique ACovPs from public databases and literature.
• Systematic collection of ACovP data, including target domains and assay information.
• Development of a user-friendly database accessible online.

Main Results:

• ACovPepDB contains 518 entries detailing 214 unique ACovPs.
• The database includes comprehensive information on ACovPs, such as target domains and experimental validation.
• Data is standardized for consistent evaluation of ACovP efficacy.

Conclusions:

• ACovPepDB is a significant resource for advancing ACovP research.
• The database will accelerate the development of novel peptide treatments for coronavirus infections.
• ACovPepDB serves as a central portal for researchers studying ACovPs.