VIRALpro: a tool to identify viral capsid and tail sequences

Area of Science:

• Virology
• Bioinformatics
• Genomics

Background:

• Sequence data generation outpaces annotation availability, particularly for underrepresented organisms like non-human-pathogenic viruses.
• Metagenomic projects frequently encounter viral sequences with insufficient annotation, hindering accurate classification and analysis.
• Existing tools may not adequately address the specific need for identifying key viral components for classification.

Purpose of the Study:

• To introduce VIRALpro, an effective computational tool for the detection and classification of viral sequences.
• To address the challenge of viral sequence annotation in the context of large-scale metagenomic data.
• To provide a resource for improving the understanding of viral diversity in environmental samples.

Main Methods:

• Development of VIRALpro, a novel tool focused on identifying viral capsid and tail protein sequences.
• Utilizing sequence analysis techniques to pinpoint conserved viral protein domains.
• Integration into the SCRATCH suite for user accessibility.

Main Results:

• VIRALpro effectively identifies critical viral protein sequences (capsid and tail proteins).
• These identified proteins serve as foundational elements for viral genome annotation and classification.
• The tool demonstrates utility in addressing annotation gaps for viral sequences.

Conclusions:

• VIRALpro offers a significant advancement in viral sequence analysis and annotation.
• The tool facilitates more accurate viral genome classification, especially for underrepresented viruses.
• Enhanced viral sequence identification contributes to a better understanding of viral ecology and evolution.