A method to improve prediction of secondary structure for large single RNA sequences

作者：El lakkani Ali; Ibrahim Eman M^*

来源：Biochemical and Biophysical Research Communications, 2018, 496(2): 523-528.

DOI：10.1016/j.bbrc2018.01.086

• RNA
• RNA secondary structure
• Large single RNA
• Kinetic folding
• Bioinformatics
• Computational biology

The function of a particular RNA molecule within an organic system is principally determined by its structure. The current physical methods available for structure determination are time consuming and expensive. Hence, computational methods for structure prediction are often used.
The prediction of the structure of a large single sequence of RNA needs a lot of research work. In the present work, a method is introduced to improve the prediction of large single sequence RNA secondary structure obtained by Mfold program using the concept of minimum free energy. The Mfold program contains a constraint option that allows forcing some helices in the predicted structure. In our method, some of the firstly formed hairpins that are expected, by a statistical study, to be present in the real structure are forced in the Mfold predicted structure. The results show improvement, toward the real structure, in the Mfold predicted structure and this gives evidence to the RNA kinetic folding.

• 出版日期2018-2-5