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Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information
المؤلفون المشاركون
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-20
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The recognition of protein folds is an important step for the prediction of protein structure and function.
After the recognition of 27-class protein folds in 2001 by Ding and Dubchak, prediction algorithms, prediction parameters, and new datasets for the prediction of protein folds have been improved.
However, the influences of interactions from predicted secondary structure segments and motif information on protein folding have not been considered.
Therefore, the recognition of 27-class protein folds with the interaction of segments and motif information is very important.
Based on the 27-class folds dataset built by Liu et al., amino acid composition, the interactions of secondary structure segments, motif frequency, and predicted secondary structure information were extracted.
Using the Random Forest algorithm and the ensemble classification strategy, 27-class protein folds and corresponding structural classification were identified by independent test.
The overall accuracy of the testing set and structural classification measured up to 78.38% and 92.55%, respectively.
When the training set and testing set were combined, the overall accuracy by 5-fold cross validation was 81.16%.
In order to compare with the results of previous researchers, the method above was tested on Ding and Dubchak’s dataset which has been widely used by many previous researchers, and an improved overall accuracy 70.24% was obtained.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Feng, Zhenxing& Hu, Xiuzhen. 2014. Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-458491
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Feng, Zhenxing& Hu, Xiuzhen. Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-458491
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Feng, Zhenxing& Hu, Xiuzhen. Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-458491
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-458491
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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