دورية أكاديمية
A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction.
| العنوان: | A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction. |
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| المؤلفون: | Teng-Ruei Chen, Sheng-Hung Juan, Yu-Wei Huang, Yen-Cheng Lin, Wei-Cheng Lo |
| المصدر: | PLoS ONE, Vol 16, Iss 7, p e0255076 (2021) |
| بيانات النشر: | Public Library of Science (PLoS), 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years. With a vision of moving forward all related fields, we aimed to make a fundamental advance in SSP. There have been many admirable efforts made to improve the machine learning algorithm for SSP. This work thus took a step back by manipulating the input features. A secondary structure element-based position-specific scoring matrix (SSE-PSSM) is proposed, based on which a new set of machine learning features can be established. The feasibility of this new PSSM was evaluated by rigid independent tests with training and testing datasets sharing |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0255076 |
| URL الوصول: | https://doaj.org/article/c52978beb14f4a9f8822d4eeb7497831 |
| رقم الأكسشن: | edsdoj.52978beb14f4a9f8822d4eeb7497831 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0255076 |