DPL: a comprehensive database on sequences, structures, sources and functions of peptide ligands

Area of Science:

• Biochemistry
• Bioinformatics
• Molecular Biology

Background:

• Peptide ligands play crucial roles in biological processes.
• A centralized, curated database is needed to facilitate research on peptide-ligand interactions.
• Existing resources may lack comprehensive data on peptide targets, structures, and functions.

Purpose of the Study:

• To introduce the Peptide-Ligand (DPL) database, a comprehensive resource for peptide ligands.
• To provide a curated collection of peptide ligand data, including sequences, targets, and structures.
• To support research on peptide-ligand interactions and their applications.

Main Methods:

• Data collection from established scientific databases (PubMed-NCBI, PDB, APD3, CAMPR3).
• Curation and organization of peptide entries, including linear and cyclic peptides.
• Inclusion of experimentally verified or predicted 3D structures for peptides and receptors.

Main Results:

• The DPL database (DPL1.0) contains 1044 peptide ligand entries.
• Includes diverse peptide functions: 540 antiviral (including SARS-CoV-2), 55 signal peptides, 48 protease inhibitors, 45 anti-hypertension, 37 anticancer.
• Features 270 distinct peptide targets, with clear binding information and structural data.

Conclusions:

• DPL serves as a unique and accessible resource for peptide ligand research.
• Facilitates exploration of peptide targets, structures, and properties.
• Supports advancements in understanding and utilizing peptide ligands, including those targeting coronaviruses.