Prediction and analysis of anti-aging peptides using data augmentation and machine learning algorithms
Zhiyuan Zhang, Yuanyuan Chen, Shihao Wang, Guozhong Chen, Mingyang Wang, Yuanyuan Pan, Erguang Li · 2025
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Description
Zhiyuan Zhang and co-authors present a 2025 study on finding peptides that may slow aging. Peptides are short chains the body can use as drugs, and anti-aging ones draw interest for their low risk of immune response and ease of making. Few computer tools exist to spot them, which slows the search.
The team built a test set from known cases and a public aging database, then trained three models to sort new peptides. One model learns rich features from each chain; the other two add fake or altered data to make training stronger. All three models scored very high on test sets. The authors offer them as tools to speed the hunt for fresh candidates.
Catalog record
| CREATOR | Zhiyuan Zhang, Yuanyuan Chen, Shihao Wang, Guozhong Chen, Mingyang Wang, Yuanyuan Pan, Erguang Li |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 71 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |