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Updated: Jun 8, 2026

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
Published on: August 16, 2017
Spial: analysis of subtype-specific features in multiple sequence alignments of proteins
Arthur Wuster1, A J Venkatakrishnan, Gebhard F X Schertler
1Structural Studies Division, MRC Laboratory of Molecular Biology, Cambridge CB2 1TP, UK.
Bioinformatics (Oxford, England)
|October 1, 2010
Summary
Spial is a tool for comparing sequence alignments to identify functionally important residues. It aids in discovering residues involved in specific interactions or modifications, enhancing evolutionary sequence analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Evolution
Background:
- Comparative analysis of evolutionarily related sequences with differing functions (e.g., receptor subtypes) is crucial.
- Identifying functionally important residues requires specialized tools.
Purpose of the Study:
- To introduce Spial (Specificity in Alignments), a novel tool for comparative sequence alignment analysis.
- To highlight residues specific to one alignment or conserved across multiple alignments.
Main Methods:
- Spial analyzes two sequence alignments to identify conserved and specific residues.
- Visualization methods include color-coding alignment positions, sequence logos, and optional protein structure coloring.
- The tool facilitates the detection of residues involved in subtype-specific interactions or post-translational modifications.
Main Results:
- Spial effectively highlights functionally significant residues differentiating sequence alignments.
- The tool aids in pinpointing residues critical for ligand, protein, or nucleic acid interactions.
- Spial can identify residues potentially undergoing post-translational modifications.
Conclusions:
- Spial is a valuable tool for comparative sequence analysis, aiding in the understanding of functional divergence.
- The visualization features of Spial enhance the interpretation of sequence-function relationships.
- This tool supports research in molecular evolution, drug discovery, and protein function studies.

