STACCATO
STACCATO integrates sequence and three-dimensional structural information to produce optimized multiple-sequence alignments and quantify amino acid structure-sequence conservation for analysis of protein conformational changes and prediction of protein-protein docking.
Key Features:
- Unified Sequence and Structure Alignment: Combines sequence data with three-dimensional structural information to generate alignments that reflect both sequence homology and structural context.
- Incorporation of Structural Alignment Probabilities: Integrates computed three-dimensional structure alignment probabilities into the scoring system alongside amino acid substitution probabilities.
- Optimization-Based Scoring: Uses an optimization method to combine substitution and structural alignment probabilities for improved alignment scoring.
- Structure-Sequence Conservation Computation: Computes amino acid structure-sequence conservation metrics to inform functional and interaction analyses.
Scientific Applications:
- Accurate Multiple-Sequence Alignments: Produces alignments that more accurately reflect biological relationships by integrating sequence and structural information.
- Protein Conformational Change Analysis: Supports analysis of protein conformational changes by incorporating structural alignment data into comparative analyses.
- Protein-Protein Docking Prediction: Uses computed structure-sequence conservation to aid prediction of protein-protein docking sites.
Methodology:
Combines standard amino acid substitution probabilities with newly computed three-dimensional structure alignment probabilities using an optimization method to score multiple-sequence alignments and compute amino acid structure-sequence conservation.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Shatsky M, Nussinov R, Wolfson HJ. Optimization of multiple‐sequence alignment based on multiple‐structure alignment. Proteins: Structure, Function, and Bioinformatics. 2005;62(1):209-217. doi:10.1002/prot.20665. PMID:16294339.