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. |
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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 |
تدمد: | 19326203 |
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DOI: | 10.1371/journal.pone.0003400 |