ACovPepDB

ACovPepDB curates a standardized database of anti-coronavirus peptides (ACovPs), annotating target domains and in vitro and in vivo assay results to support peptide-based therapeutic research against coronaviruses including SARS-CoV-2.

Key Features:

• Dataset size: Contains 518 entries corresponding to 214 unique anti-coronavirus peptides (ACovPs).
• Source provenance: Entries were extracted from peer-reviewed research articles and public databases.
• Standardization: Fields, units, and evaluation standards are standardized across entries to enable direct comparison.
• Detailed annotations: Each entry includes target domains and descriptions of in vitro and in vivo assays used to evaluate inhibitory effects.
• Scope of activity: Covers peptides with reported activity against coronaviruses, including SARS-CoV-2.

Scientific Applications:

• Peptide discovery: Identify and characterize novel ACovPs with potential therapeutic applications.
• Comparative analysis: Perform comparative studies to evaluate the efficacy of different peptides.
• Peptide design: Design and optimize new peptides based on existing sequences and annotated assay data.
• Mechanistic investigation: Explore mechanisms underlying inhibitory effects using annotated target and assay information.

Methodology:

Entries were collected from peer-reviewed research articles and public databases and standardized with consistent fields, units, and evaluation standards, with annotations of target domains and in vitro and in vivo assays.