期刊
MOLECULAR THERAPY-NUCLEIC ACIDS
卷 11, 期 -, 页码 468-474出版社
CELL PRESS
DOI: 10.1016/j.omtn.2018.03.012
关键词
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资金
- Natural Science Foundation of China [31771471, 61772119]
- Natural Science Foundation for Distinguished Young Scholar of Hebei Province [C2017209244]
- Top Young Innovative Talents of Higher Learning Institutions of Hebei Province [BJ2014028]
- Applied Basic Research Program of Sichuan Province [2015JY0100]
RNA modifications are additions of chemical groups to nucleotides or their local structural changes. Knowledge about the occurrence sites of these modifications is essential for in-depth understanding of the biological functions and mechanisms and for treating some genomic diseases as well. With the avalanche of RNA sequences generated in the post-genomic age, many computational methods have been proposed for identifying various types of RNA modifications one by one. However, so far no method whatsoever has been developed for simultaneously identifying several different types of RNA modifications. To address such a challenge, we developed a predictor called iRNA-3typeA, by which we can simultaneously identify the occurrence sites of the following three most frequently observed modifications in RNA: (1) N-1-methyladenosine (m(1)A), (2) N-6- methyladenosine (m(6)A), and (3) adenosine to inosine (A-to-I). It has been shown via rigorous cross-validations for the RNA sequences from Homo sapiens and Mus musculus transcriptomes that the success rates achieved by the powerful new predictor are quite high. For the convenience of broad experimental scientists, a user-friendly web server for iRNA-3typeA has been established at http://lin-group.cn/server/iRNA-3typeA/. It is anticipated that iRNA-3typeA may become a useful high throughput tool for genome analysis.
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