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Updated: Dec 23, 2025
DNAzyme-dependent Analysis of rRNA 2’-O-Methylation
Published on: September 16, 2019
Identification of 2'-O-methylation Site by Investigating Multi-feature Extracting Techniques
Qin-Lai Huang1, Lida Wang2, Shu-Guang Han1
1School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Background:
RNA methylation is a reversible post-transcriptional modification involving numerous biological processes. Ribose 2'-O-methylation is part of RNA methylation. It has shown that ribose 2'-O-methylation plays an important role in immune recognition and other pathogenesis.
Objective:
We aim to design a computational method to identify 2'-O-methylation.
Methods:
Different from the experimental method, we propose a computational workflow to identify the methylation site based on the multi-feature extracting algorithm.
Results:
With a voting procedure based on 7 best feature-classifier combinations, we achieved Accuracy of 76.5% in 10-fold cross-validation. Furthermore, we optimized features and input the optimized features into SVM. As a result, the AUC reached to 0.813.
Conclusion:
The RNA sample, especially the negative samples, used in this study are more objective and strict, so we obtained more representative results than state-of-arts studies.
