Computational biology and bioinformatics for infectious disease research: From molecular mechanisms to population-level surveillance
Tao Huang, Junyu Luo, Yixue Li · 2026
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Description
Tao Huang and colleagues opened a special issue on computer tools for infectious disease research. Published in 2026, the issue gathers ten papers spanning gene-level analysis to crowd-level tracking. Infectious diseases remain a top global health threat, and the flood of gene, protein, case, and clinic data demands tools that turn bulk data into usable insight.
The papers show language models reading gene and protein strings for clues on immune flags and viral genomes. An RNA model traces SARS-CoV-2 ties to host messages, and a deep-learning tool maps human-virus protein links. Other papers add knowledge graphs, open-box AI, and half-rule-based models to foresee outbreaks. All told, they show computing changing how threats are spotted, read, and answered. Readers get a tour of the field's sharpest tools, with gaps like scarce data on new germs flagged.
Catalog record
| CREATOR | Tao Huang, Junyu Luo, Yixue Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 15 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |