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arXiv · 1502.05667

Towards de novo RNA 3D structure prediction

Sandro Bottaro·Francesco Di Palma·Giovanni Bussi
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Abstract

RNA is a fundamental class of biomolecules that mediate a large variety of molecular processes within the cell. Computational algorithms can be of great help in the understanding of RNA structure-function relationship. One of the main challenges in this field is the development of structure-prediction algorithms, which aim at the prediction of the three-dimensional (3D) native fold from the sole knowledge of the sequence. In a recent paper, we have introduced a scoring function for RNA structure prediction. Here, we analyze in detail the performance of the method, we underline strengths and shortcomings, and we discuss the results with respect to state-of-the-art techniques. These observations provide a starting point for improving current methodologies, thus paving the way to the advances of more accurate approaches for RNA 3D structure prediction.

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BibTeXRIS

Sandro Bottaro, Francesco Di Palma, Giovanni Bussi. 2015-02-19. Towards de novo RNA 3D structure prediction. https://doi.org/10.14800/rd.544

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