CEDIT: a C interface and macro facility for protein sequence alignment editing in colour with Microsoft Word 5.0 for...

Area of Science:

• Bioinformatics
• Computational Biology
• Molecular Biology

Background:

• Protein sequence alignment is crucial for understanding evolutionary relationships and functional similarities.
• Visualizing conserved regions in large datasets can be challenging with standard tools.

Purpose of the Study:

• To present CEDIT, a novel C interface and macro facility for enhanced protein sequence alignment visualization.
• To facilitate the identification of conservative homologies through color-coded editing.

Main Methods:

• Developed a C interface and macro facility (CEDIT) compatible with Microsoft Word 5.0 for PCs.
• Utilized MS-Word's color display capabilities to highlight conserved residues across protein sequences.
• Integrated a glossary file with macros, error-checking utilities, and similarity estimation tools.

Main Results:

• CEDIT enables the color-coded editing of protein sequence alignments up to 2000 sequences and 5000 residues each.
• The software effectively identifies conservative homologies by assigning distinct colors to conserved residues.
• Included utilities provide error checking, sequence similarity estimation, and homology significance assessment.

Conclusions:

• CEDIT offers a user-friendly, menu-driven interface with context-sensitive help for protein sequence alignment analysis.
• The tool enhances the visual identification of conserved homologies, aiding in biological interpretation.
• CEDIT provides a comprehensive solution for managing and analyzing large protein sequence datasets.