A probabilistic approach to microRNA-target binding

Date

2011-09-16

Author

OĞUL, HASAN
Umu, Sinan U.
Tuncel, Y. Yener
Akkaya, Mahinur

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Elucidation of microRNA activity is a crucial step in understanding gene regulation. One key problem in this effort is how to model the pairwise interactions of microRNAs with their targets. As this interaction is strongly mediated by their sequences, it is desired to set-up a probabilistic model to explain the binding preferences between a microRNA sequence and the sequence of a putative target. To this end, we introduce a new model of microRNA-target binding, which transforms an aligned duplex to a new sequence and defines the likelihood of this sequence using a Variable Length Markov Chain. It offers a complementary representation of microRNA-mRNA pairs for microRNA target prediction tools or other probabilistic frameworks of integrative gene regulation analysis. The performance of present model is evaluated by its ability to predict microRNA-target mRNA interaction given a mature microRNA sequence and a putative mRNA binding site. In regard to classification accuracy, it outperforms two recent methods based on thermodynamic stability and sequence complementarity. The experiments can also unveil the effects of base pairing types and non-seed region in duplex formation.

Subject Keywords

Biophysics, Cell Biology, Biochemistry, Molecular Biology

URI

https://hdl.handle.net/11511/51128

Journal

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

DOI

https://doi.org/10.1016/j.bbrc.2011.08.065

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

H. OĞUL, S. U. Umu, Y. Y. Tuncel, and M. Akkaya, “A probabilistic approach to microRNA-target binding,” BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, pp. 111–115, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51128.