satpdb

satpdb provides a curated repository of structurally annotated therapeutic peptides integrating sequence, structural, and functional information to support peptide-based therapeutic research.

Key Features:

• Data integration: Aggregates peptides from 22 public domain peptide databases and nine unique developer-contributed datasets into a single repository.
• Dataset size and composition: Contains 19,192 experimentally validated peptide sequences of length 2–50 amino acids including natural, non-natural, and modified residues.
• Functional classification: Categorizes peptides into ten functional groups with counts provided for major classes (anticancer: 1,099; antimicrobial: 10,585; drug delivery: 1,642; antihypertensive: 1,698).
• Structural annotation: Integrates structural information from the Protein Data Bank and complements it with predicted models.
• Structure prediction methods: Uses I-TASSER, HHsearch, and PEPstrMOD for peptide structure prediction and modeling.
• Sequence and structure similarity search: Provides capability to identify peptides with similar sequence or structural characteristics.
• Peptide browsing by function and properties: Enables exploration of peptides based on defined functional categories and physicochemical properties.
• Moonlighting peptide identification: Identifies peptides exhibiting multiple therapeutic functions.
• Search by structure and therapeutic activity: Allows selection of peptides by specific structural features and associated therapeutic activities.

Scientific Applications:

• Anticancer peptide discovery: Facilitates identification and analysis of experimentally validated and predicted-structure anticancer peptides.
• Antimicrobial peptide discovery: Supports discovery and comparative analysis of antimicrobial peptides across a large dataset.
• Peptide-based drug delivery design: Provides data for selecting and characterizing peptides used in drug delivery applications.
• Antihypertensive peptide identification: Enables selection and study of peptides with antihypertensive activity.
• Multifunctional (moonlighting) peptide analysis: Enables detection and study of peptides with multiple therapeutic functions.
• Structure-guided peptide therapeutics: Supports structure-informed selection and design of therapeutic peptides using experimental and predicted models.

Methodology:

Peptide sequences were aggregated from 22 public domain databases and nine developer datasets (19,192 experimentally validated entries, 2–50 amino acids); structural annotation uses Protein Data Bank entries and de novo prediction with I-TASSER, HHsearch, and PEPstrMOD; sequence and structure similarity searches are provided.