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RNA flexibility prediction with sequence profile and predicted solvent accessibility.

07:00 EST 28th November 2019 | BioPortfolio

Summary of "RNA flexibility prediction with sequence profile and predicted solvent accessibility."

Structural flexibility plays an essential role in many biological processes. B-factor is an important indicator to measure the flexibility of protein or RNA structures. Many methods were developed to predict protein B-factors, but few studies have been done for RNA B-factor prediction. In this paper, we proposed a new method RNAbval to predict RNA B-factors using random forest. The method was developed using a comprehensive set of features, including the sequence profile and predicted solvent accessibility. RNAbval achieved an improvement of 9.2-20.5% over the state-of-the-art method on two benchmark test datasets. The proposed method is available at http://yanglab.nankai.edu.cn/RNAbval/.

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This article was published in the following journal.

Name: IEEE/ACM transactions on computational biology and bioinformatics
ISSN: 1557-9964
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Medical and Biotech [MESH] Definitions

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