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Updated: Apr 18, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
Scop3D: three-dimensional visualization of sequence conservation.
Tessa Vermeire1, Stijn Vermaere, Bert Schepens
1Department of Medical Protein Research, VIB, Ghent, Belgium; Department of Biochemistry, Ghent University, Ghent, Belgium.
We developed the Sequence Conservation on Protein 3D structure (scop3D) tool to automatically analyze protein sequence variation and conservation. This tool aids in understanding protein evolution and identifying key regions for applications like vaccine development.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Biology
Background:
- Integrating protein structure and sequence variation is crucial for understanding protein evolution, function, and immunogenicity.
- Current methods for analyzing sequence conservation on protein structures are complex and not straightforward.
Purpose of the Study:
- To develop an automated tool, scop3D, for integrating protein sequence variation with 3D structure.
- To facilitate the analysis of protein sequence conservation and its mapping onto structural data.
Main Methods:
- Developed the Sequence Conservation on Protein 3D structure (scop3D) tool.
- Automated the process of creating multiple sequence alignments, calculating conservation, and mapping data onto protein structures.
- Modified PDB files to include sequence conservation or information entropy at each position.
Main Results:
- scop3D automatically generates modified PDB files with conservation data and provides associated text files with amino acid occurrences.
- The tool also generates spatial snapshots of the protein structure.
- Demonstrated utility in analyzing fusion proteins of respiratory syncytial virus and mumps virus.
Conclusions:
- scop3D simplifies the integration of sequence variation and protein structure data.
- The tool's visualizations can aid in vaccine development and identifying antigenic hotspots.
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