UniAlign
UniAlign integrates evolutionary information with 3D geometric similarity to perform protein pairwise structure alignment that identifies functionally relevant residue correspondences between homologous proteins.
Key Features:
- Incorporation of Evolutionary Information: Integrates sequence similarity, sequence profiles, and residue conservation into the structure alignment process.
- Per-Residue Scoring System (UniScore): Defines UniScore as a per-residue weighted sum of sequence similarity, profile information, and residue conservation to evaluate potential alignments.
- Iterative Optimization Procedure: Employs an iterative optimization routine to search for the alignment that maximizes the overall UniScore.
- Benchmark Performance: Demonstrates consistent outperformance of commonly used structure alignment methods on CDD, HOMSTRAD, and BAliBASE benchmark datasets.
- Family-Specific Model Development: Supports development of family-specific models to improve alignment quality within particular protein families.
Scientific Applications:
- Functional Annotation: Improves identification of functional sites on proteins by incorporating evolutionary conservation into alignments.
- Evolutionary Studies: Enhances analysis of evolutionary relationships between distantly related homologous proteins by focusing on conserved functional and structural features.
- Drug Design: Enables more precise identification of functionally relevant residues for structure-based drug design through evolution-aware alignments.
Methodology:
Collects sequence similarity data, sequence profiles, and residue conservation metrics; integrates these features into the UniScore per-residue weighted sum; and applies an iterative optimization procedure to find the alignment that maximizes overall UniScore.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zhao C, Sacan A. UniAlign: protein structure alignment meets evolution. Bioinformatics. 2015;31(19):3139-3146. doi:10.1093/bioinformatics/btv354. PMID:26059715.
PMID: 26059715