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Rsite: a computational method to identify the functional sites of noncoding RNAs
被引:25
|作者:
Zeng, Pan
[1
]
Li, Jianwei
[2
]
Ma, Wei
[1
]
Cui, Qinghua
[1
]
机构:
[1] Peking Univ, Sch Basic Med Sci, MOE Key Lab Cardiovasc Sci, Dept Biomed Informat, Beijing 100191, Peoples R China
[2] Hebei Univ Technol, Sch Comp Sci & Engn, Lab Translat Biomed Informat, Tianjin 300401, Peoples R China
来源:
SCIENTIFIC REPORTS
|
2015年
/
5卷
基金:
中国国家自然科学基金;
关键词:
STRUCTURAL-ANALYSIS;
LONG;
RESIDUES;
DATABASE;
D O I:
10.1038/srep09179
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
There is an increasing demand for identifying the functional sites of noncoding RNAs (ncRNAs). Here we introduce a tertiary-structure based computational approach, Rsite, which first calculates the Euclidean distances between each nucleotide and all the other nucleotides in a RNA molecule and then determines the nucleotides that are the extreme points in the distance curve as the functional sites. By analyzing two ncRNAs, tRNA (Lys) and Diels-Alder ribozyme, we demonstrated the efficiency of Rsite. As a result, Rsite recognized all of the known functional sites of the two ncRNAs, suggesting that Rsite could be a potentially useful tool for discovering the functional sites of ncRNAs. The source codes and data sets of Rsite are available at http://www.cuilab.cn/rsite.
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页数:5
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