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.

Documentation