Bioinformatic Resources for Human-Virus Protein Interactions
Author Information
Author(s): Huimin Chen, Jiaxin Liu, Gege Tang, Gefei Hao, Guangfu Yang
Primary Institution: Central China Normal University
Hypothesis
The review aims to provide a comprehensive summary of bioinformatic resources for exploring human-virus protein-protein interactions (PPIs).
Conclusion
The study highlights the need for improved bioinformatic tools to facilitate the exploration of human-virus PPIs and enhance antiviral drug development.
Supporting Evidence
- Human-virus protein-protein interactions are crucial for understanding viral infections.
- Existing databases often lack comprehensive data and drug-related information.
- Machine learning techniques are increasingly used to predict human-virus interactions.
Takeaway
This study reviews tools that help scientists understand how human proteins interact with viruses, which is important for developing treatments.
Methodology
The review surveys and compares various bioinformatic resources and tools for human-virus PPIs.
Limitations
The review notes that many databases are not comprehensive and lack drug-related information.
Digital Object Identifier (DOI)
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