BADASP: predicting functional specificity in protein families using ancestral sequences.

Area of Science:

• Bioinformatics
• Computational Biology
• Evolutionary Genetics

Background:

• Gene duplication is a major driver of protein evolution and functional innovation.
• Identifying functional divergence after duplication is crucial for understanding protein family evolution.
• Existing methods may not fully capture subfamily-specific functional changes.

Purpose of the Study:

• To introduce Burst After Duplication with Ancestral Sequence Predictions (BADASP), a novel software package.
• To enable the identification of functionally important sites in protein families post-duplication.
• To facilitate the analysis of subfamily-specific functional divergence.

Main Methods:

• Grouping protein phylogenies into subfamilies based on orthology/paralogy or user definitions.
• Predicting ancestral protein sequences from alignments.
• Calculating functional specificity using variants of the Burst After Duplication method to detect conserved radical amino acid substitutions post-duplication.

Main Results:

• BADASP provides statistics, subfamily groupings, and ancestral sequences.
• The software identifies potential sites conferring subfamily-specific biological functions.
• Facilitates downstream analysis with other bioinformatics packages.

Conclusions:

• BADASP is a valuable tool for studying protein evolution and functional divergence.
• It aids in pinpointing key amino acid residues responsible for new subfamily functions.
• The package simplifies the analysis of evolutionary events following gene duplication.