Align-m
Align-m performs multiple sequence alignment by combining non-progressive local alignment strategies with global alignment techniques to improve accuracy on highly divergent protein sequences.
Key Features:
- Modular Architecture: Composed of S2P (Single to Pairwise), P2P (Pairwise to Pairwise), and P2M (Pairwise to Multiple) modules that can be applied independently or sequentially.
- Non-Progressive Local Approach: Employs a non-progressive local alignment strategy to guide global alignments and concentrate on biologically relevant regions.
- Benchmark Performance: Demonstrated superior or comparable accuracy to ClustalW, T-Coffee, and DiAlign on large test sets representative of the SCOP classification.
- Performance on Low-Similarity Sequences: Particularly effective for sequences with 0–50% identity, improving correctly aligned residue rates.
- Reduced Misalignment: Aligns on average 15% fewer residues incorrectly compared to some other algorithms.
- Scoring and Search: Utilizes a scoring function tuned to biological reality together with an efficient heuristic to explore solution spaces.
Scientific Applications:
- Structural Biology: Supports prediction of structural homology and functional annotation through more accurate alignments of divergent protein sequences.
- Evolutionary Studies: Facilitates analysis of evolutionary relationships by accurately aligning distantly related proteins for phylogenetic inference.
- Drug Discovery and Design: Improves identification of conserved residues and potential drug targets by providing precise alignments relevant to protein-ligand interaction studies.
Methodology:
Combines a non-progressive local alignment strategy to inform global alignment, employs a scoring function that reflects biological reality, and applies an efficient heuristic to explore the solution space.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows
- Added:
- 5/1/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Van Walle I, Lasters I, Wyns L. Align-m—a new algorithm for multiple alignment of highly divergent sequences. Bioinformatics. 2004;20(9):1428-1435. doi:10.1093/bioinformatics/bth116. PMID:14962914.
PMID: 14962914