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Position-Specific Analysis and Prediction of Protein Pupylation Sites Based on Multiple Features
المؤلفون المشاركون
Ning, Qiao
Zhao, Xiaowei
Dai, Jiangyan
Ma, Zhiqiang
Yin, Minghao
Sun, Pingping
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-08-26
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Pupylation is one of the most important posttranslational modifications of proteins; accurate identification of pupylation sites will facilitate the understanding of the molecular mechanism of pupylation.
Besides the conventional experimental approaches, computational prediction of pupylation sites is much desirable for their convenience and fast speed.
In this study, we developed a novel predictor to predict the pupylation sites.
First, the maximum relevance minimum redundancy (mRMR) and incremental feature selection methods were made on five kinds of features to select the optimal feature set.
Then the prediction model was built based on the optimal feature set with the assistant of the support vector machine algorithm.
As a result, the overall jackknife success rate by the new predictor on a newly constructed benchmark dataset was 0.764, and the Mathews correlation coefficient was 0.522, indicating a good prediction.
Feature analysis showed that all features types contributed to the prediction of protein pupylation sites.
Further site-specific features analysis revealed that the features of sites surrounding the central lysine contributed more to the determination of pupylation sites than the other sites.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Xiaowei& Dai, Jiangyan& Ning, Qiao& Ma, Zhiqiang& Yin, Minghao& Sun, Pingping. 2013. Position-Specific Analysis and Prediction of Protein Pupylation Sites Based on Multiple Features. BioMed Research International،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030082
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Xiaowei…[et al.]. Position-Specific Analysis and Prediction of Protein Pupylation Sites Based on Multiple Features. BioMed Research International No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1030082
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Xiaowei& Dai, Jiangyan& Ning, Qiao& Ma, Zhiqiang& Yin, Minghao& Sun, Pingping. Position-Specific Analysis and Prediction of Protein Pupylation Sites Based on Multiple Features. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030082
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1030082
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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