HDOCK

HDOCK predicts structures of protein-protein and protein-nucleic acid complexes by integrating template-based modeling with ab initio free docking to determine biomolecular interaction interfaces.

Key Features:

• Hybrid Algorithm: Combines template-based modeling and ab initio free docking to leverage known structures from the Protein Data Bank (PDB) while enabling template-independent exploration.
• Input Formats: Accepts both sequence and structural inputs for proteins.
• Efficiency: Typical docking runs complete in approximately 10–20 minutes per job.
• Benchmark Performance: On weakly homologous complexes (<30% sequence identity) it tied with template-based modeling on protein-protein and protein-DNA benchmarks and outperformed template-based modeling on protein-RNA benchmarks when considering the top 10 predictions, with accuracy improving when more predictions are considered.
• Enhanced Predictive Power: Combining HDOCK outputs with the first-ranked template-based model improves overall docking prediction accuracy.

Scientific Applications:

• Structural biology: Determination and analysis of protein-protein and protein-nucleic acid complex structures and interaction interfaces.
• Modeling weakly homologous complexes: Exploration of complexes with <30% sequence identity to study novel or less-characterized biomolecular interactions.
• Therapeutic research: Support for studies of biomolecular interactions relevant to drug discovery and development.

Methodology:

Initial template-based modeling uses structural information from the PDB to guide docking predictions, and an ab initio free docking component explores conformational space when templates are insufficient.