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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
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The Phyre2 web portal for protein modeling, prediction and analysis
Lawrence A Kelley1, Stefans Mezulis1, Christopher M Yates1
1Structural Bioinformatics Group, Imperial College London, London, UK.
Nature Protocols
|May 8, 2015
Summary
Phyre2 is a web-based tool for protein structure, function, and mutation analysis. It offers advanced bioinformatics tools with an intuitive interface for biologists to interpret protein models and analyze variants.
Area of Science:
- Biochemistry
- Bioinformatics
- Structural Biology
Background:
- Protein structure and function are critical for biological processes.
- Accurate prediction of protein models aids in understanding biological mechanisms.
- Analysis of mutations is essential for disease research and drug development.
Purpose of the Study:
- To introduce Phyre2, an updated web server for protein structure, function, and mutation analysis.
- To provide biologists with an intuitive interface to advanced protein bioinformatics tools.
- To guide users in interpreting protein models, domain composition, and quality.
Main Methods:
- Utilizes advanced remote homology detection for 3D model building.
- Predicts ligand binding sites and analyzes the effects of amino acid variants (e.g., nonsynonymous SNPs).
- Offers a user-friendly interface for detailed result interpretation.
Main Results:
- Phyre2 provides 3D protein models, predicts ligand binding sites, and analyzes mutation impacts.
- The server guides users through secondary and tertiary structure interpretation, domain composition, and model quality.
- Additional tools facilitate genome-wide structure searches and automated modeling for challenging proteins.
Conclusions:
- Phyre2 offers a comprehensive and accessible platform for protein bioinformatics analysis.
- The tool empowers biologists with state-of-the-art methods for structure prediction and variant analysis.
- Phyre2 enhances the understanding of protein function and the impact of genetic variations.
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