VOGDB-Database of Virus Orthologous Groups.

Area of Science:

• Bioinformatics
• Virology
• Computational Biology

Background:

• Accurate grouping of homologous viral proteins is crucial for bioinformatics.
• Viral genome evolution and diversity present challenges for traditional clustering methods.
• Inconsistent public database annotations hinder viral gene analysis.

Purpose of the Study:

• To develop a comprehensive database of virus orthologous groups (VOGDB).
• To enable more sensitive homology searches and improve annotation of viral genes.
• To facilitate the exploration of evolutionary relationships between prokaryotic and eukaryotic viruses.

Main Methods:

• Developed a multi-layer database (VOGDB) for progressive viral gene grouping.
• Utilized pair-wise sequence similarity, sequence profile alignments, and predicted protein structures for clustering.
• Integrated all virus genomes from RefSeq and partially reannotated them.
• Included both prokaryotic and eukaryotic viruses in a unified clustering process.

Main Results:

• VOGDB provides a tiered approach to group viral genes based on similarity.
• The database enhances the detection of remote homologies for novel viral genes.
• VOGDB aids in predicting gene annotations and inferring phylogenetic relationships.
• The database is updated with each RefSeq release and includes reannotated viral genomes.

Conclusions:

• VOGDB offers a robust resource for viral sequence and structure analysis.
• The integrated approach allows for deeper insights into viral evolution.
• VOGDB is freely accessible, promoting wider research in virology and bioinformatics.