دورية أكاديمية
ANGLOR: a composite machine-learning algorithm for protein backbone torsion angle prediction.
| العنوان: | ANGLOR: a composite machine-learning algorithm for protein backbone torsion angle prediction. |
|---|---|
| المؤلفون: | Sitao Wu, Yang Zhang |
| المصدر: | PLoS ONE, Vol 3, Iss 10, p e3400 (2008) |
| بيانات النشر: | Public Library of Science (PLoS), 2008. |
| سنة النشر: | 2008 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | We developed a composite machine-learning based algorithm, called ANGLOR, to predict real-value protein backbone torsion angles from amino acid sequences. The input features of ANGLOR include sequence profiles, predicted secondary structure and solvent accessibility. In a large-scale benchmarking test, the mean absolute error (MAE) of the phi/psi prediction is 28 degrees/46 degrees , which is approximately 10% lower than that generated by software in literature. The prediction is statistically different from a random predictor (or a purely secondary-structure-based predictor) with p-value |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | http://europepmc.org/articles/PMC2559866?pdf=render; https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0003400 |
| URL الوصول: | https://doaj.org/article/e6bcd849cfb3412c8ddb5ba2bb812773 |
| رقم الأكسشن: | edsdoj.6bcd849cfb3412c8ddb5ba2bb812773 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
|---|---|
| DOI: | 10.1371/journal.pone.0003400 |