الانتقال الى المحتوى الأساسي
23-جمادى الآخرة-1447 هـ
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
معهد الجينوم الطبي
تفاصيل الوثيقة
نوع الوثيقة
:
مقال في مجلة دورية
عنوان الوثيقة
:
dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation
dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation
لغة الوثيقة
:
الانجليزية
المستخلص
:
Protein remote homology detection is an important task in computational proteomics. Some computational methods have been proposed, which detect remote homology proteins based on different features and algorithms. As noted in previous studies, their predictive results are complementary to each other. Therefore, it is intriguing to explore whether these methods can be combined into one package so as to further enhance the performance power and application convenience. In view of this, we introduced a protein representation called profile-based pseudo protein sequence to extract the evolutionary information from the relevant profiles. Based on the concept of pseudo proteins, a new predictor, called “dRHP-PseRA”, was developed by combining four stateof- the-art predictors (PSI-BLAST, HHblits, Hmmer, and Coma) via the rank aggregation approach. Cross-validation tests on a SCOP benchmark dataset have demonstrated that the new predictor has remarkably outperformed any of the existing methods for the same purpose on ROC50 scores. Accordingly, it is anticipated that dRHP-PseRA holds very high potential to become a useful high throughput tool for detecting remote homology proteins. For the convenience of most experimental scientists, a web-server for dRHP-PseRA has been established at http://bioinformatics.hitsz.edu.cn/ dRHP-PseRA/.
ردمد
:
2045-2322
اسم الدورية
:
Scientific reports
المجلد
:
6
العدد
:
1
سنة النشر
:
1437 هـ
2016 م
نوع المقالة
:
مقالة علمية
تاريخ الاضافة على الموقع
:
Monday, July 17, 2017
الباحثون
اسم الباحث (عربي)
اسم الباحث (انجليزي)
نوع الباحث
المرتبة العلمية
البريد الالكتروني
Junjie Chen
Chen, Junjie
باحث
دكتوراه
Ren Long
Long, Ren
باحث
دكتوراه
Xiao-long Wang
Wang, Xiao-long
باحث
دكتوراه
Bin Liu
Liu, Bin
باحث
دكتوراه
Kuo-Chen Chou
Chou, Kuo-Chen
باحث
دكتوراه
الملفات
اسم الملف
النوع
الوصف
42006.pdf
pdf
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