HighDB: New structure-annotated cyclic peptide database offers 2,504 entries for design and analysis
Background
Cyclic peptides are increasingly recognized as potent modulators for challenging drug targets and protein-protein interactions (PPIs), offering unique structural and functional advantages over linear counterparts. Despite their therapeutic promise, the design and optimization of target-specific cyclic peptides are significantly hampered by a scarcity of comprehensive, structure-centered resources. Existing databases often lack standardized, computable annotations and sufficient depth in experimentally resolved structures, creating a critical gap for researchers seeking to leverage these complex molecules in drug discovery and bioengineering.
Study Design
Researchers developed HighDB, a curated database of experimentally resolved cyclic peptide structures. Data was collected from the Protein Data Bank (PDB) and relevant literature, with each entry annotated at the PDB-chain level. The team harmonized annotations across key descriptors including cyclization type, ring number, overall secondary structure, peptide naturalness, and complex context. HighDB integrates multiple functionalities such as keyword retrieval, multidimensional filtering, sequence-similarity search, and interactive three-dimensional visualization to facilitate structural analysis and design-oriented applications. They also established a unified annotation framework for topological and conformational descriptors.
Results
HighDB's current release contains 2,504 entries, each meticulously annotated at the PDB-chain level. This collection is harmonized across crucial parameters like cyclization type, ring number, overall secondary structure, peptide naturalness, and complex context. The database offers robust functionalities including keyword retrieval, multidimensional filtering, sequence-similarity search, and interactive three-dimensional visualization, supporting diverse applications from comparative structural analysis to template retrieval and design-oriented exploration. Comparative analysis with other representative cyclic peptide resources demonstrated that HighDB provides broader annotation coverage and boasts the largest collection of experimentally resolved cyclic peptide structures among the databases examined. This comprehensive resource is freely accessible for academic use.
HighDB currently contains 2,504 entries, annotated at the
PDB-chainlevel, representing the largest collection of experimentally resolved cyclic peptide structures among the databases examined.
Key Findings
- HighDB contains 2,504 experimentally resolved cyclic peptide structures.
- Each entry is annotated for cyclization type, ring number, secondary structure, and complex context.
- The database offers keyword retrieval, multidimensional filtering, sequence-similarity search, and 3D visualization.
- HighDB provides broader annotation coverage compared to other cyclic peptide databases.
- It represents the largest collection of experimentally resolved cyclic peptide structures among examined resources.
Why It Matters
This new resource significantly advances the field of cyclic peptide research by providing a centralized, richly annotated, and easily searchable repository. HighDB streamlines the discovery and optimization of cyclic peptide therapeutics by offering a comprehensive platform for structural analysis and rational design. For peptide users and biohackers, it offers an unprecedented opportunity to explore the structural diversity and potential of cyclic peptides, potentially informing novel designs or modifications for specific biological targets. Clinically, this database could accelerate the development of new drugs for difficult-to-drug targets, moving from concept to usable protocols faster by providing a strong foundation for structure-activity relationship studies and template-based design.
cyclic peptides
database
structural biology
drug discovery
bioinformatics
protein-protein interactions