The HIV mutation browser: a resource for human immunodeficiency virus mutagenesis and polymorphism data

Area of Science:

• Virology
• Bioinformatics
• Genomics

Background:

• Extensive research has been conducted on human immunodeficiency virus (HIV) protein mutations, but accessing this data is challenging for researchers.
• The scientific literature contains valuable information on mutation phenotypes, yet manual data retrieval is time-consuming and difficult.
• A centralized resource is needed to efficiently catalog and explore HIV mutation data.

Purpose of the Study:

• To develop a comprehensive, web-based resource for exploring HIV mutation data.
• To facilitate rapid access to information on the phenotypes of HIV mutations.
• To enhance the efficiency of HIV research by organizing mutation literature.

Main Methods:

• Computational text-mining techniques were employed to extract mutagenesis and polymorphism information from HIV literature.
• Data was enriched with ancillary information for a more complete understanding.
• A public, web-based interface, the HIV mutation browser, was developed for intuitive data exploration.

Main Results:

• The HIV mutation browser currently details phenotypes for 7,608 unique mutations across 2,520 sites in the HIV proteome.
• This information was derived from the analysis of 120,899 research papers.
• Mutation data is organized by protein residue, with links to relevant experimental literature.

Conclusions:

• The HIV mutation browser offers a valuable new resource for the scientific community.
• It significantly improves the accessibility and usability of HIV mutation data.
• This tool supports efforts to maximize HIV research efficiency given the global health impact of HIV.