ORION
ORION performs fold recognition to improve protein 3D structure prediction by comparing hybrid profiles that combine sequence and structure evolutionary information.
Key Features:
- Hybrid Profiles: Integrates evolutionary information from both protein sequence and protein structure to improve remote homology detection.
- Structural Alphabet — Protein Blocks (PBs): Encodes local conformations using a 16-state structural alphabet (Protein Blocks) for one-dimensional description of structure.
- Pairwise Profile Comparison: Compares hybrid profiles in a pairwise manner to identify compatible structural templates.
- Benchmark Performance: Systematically validated against PSI-BLAST and HHsearch on CASP 8, 9, and 10 targets and detects approximately 10% more templates at SCOP fold and superfamily levels.
Scientific Applications:
- Structural Biology: Improves template detection for template-based modeling to support accurate protein 3D structure prediction.
- Drug Discovery: Enhances structure predictions used to inform drug discovery efforts that rely on protein structure.
- Functional Annotation: Enables more reliable functional annotation of proteins through improved structural inference.
Methodology:
Performs pairwise comparison of hybrid profiles that encapsulate evolutionary information from sequence and structure and encodes local structural conformations using a 16-state Protein Blocks (PBs) structural alphabet.
Topics
Details
- Tool Type:
- api, command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Ghouzam Y, Postic G, de Brevern AG, Gelly J. Improving protein fold recognition with hybrid profiles combining sequence and structure evolution. Bioinformatics. 2015;31(23):3782-3789. doi:10.1093/bioinformatics/btv462. PMID:26254434.
PMID: 26254434
Documentation
Links
Software catalogue
http://www.mybiosoftware.com/orion-profile-profile-fold-recognition.html