RNA Flexibility Prediction With Sequence Profile and Predicted Solvent Accessibility

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)

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Abstract
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 deve...
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Key words
RNA,Training,Proteins,Support vector machines,Forestry,Solvents,Machine learning
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