GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, Zhi-Ao Xu, Rui Li, Yuting Qian, Ya-Ping Lu, Wenqing Zhang, Yong Liu, Junnian Zheng · 2023
Read GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier by Xin Liu, Bao Zhu, Xia-Wei Dai, Zhi-Ao Xu, Rui Li, Yuting Qian, Ya-Ping Lu, Wenqing Zhang, Yong Liu, Junnian Zheng (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10712101.txt.
Description
Xin Liu and co-authors present a 2023 tool for predicting chemical tag sites on proteins. The tag, called glutarylation, alters a building block named lysine and shapes cell tasks from energy use to protein making. Lab hunting for tag sites is slow and costly. Their model reads protein traits and calls the sites by computer.
Seven trait types feed the model, from raw sequence to shape and family history. Two filters handle lopsided data and trim trait overlap. A boosted tree sorter makes the final calls. Cross-checks gave accuracy near 94 percent, and a fresh test set scored near 90 percent. The tool could guide lab work on how this tag steers health and disease.
Catalog record
| CREATOR | Xin Liu, Bao Zhu, Xia-Wei Dai, Zhi-Ao Xu, Rui Li, Yuting Qian, Ya-Ping Lu, Wenqing Zhang, Yong Liu, Junnian Zheng |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |