Post-transcriptional RNA modifications influence RNA structure and function and play
important roles in gene expression regulation and other cellular processes. Accurate identification of
RNA modification sites is therefore essential for understanding their biological functions and diseaseassociated
mechanisms. Wit...
Chun-Yan Ao, Quan Zou· Current Bioinformatics· 0 citations
Abstract Motivation Anti-inflammatory peptides (AIPs) show therapeutic potential for treating chronic and autoimmune diseases. Computational screening of these peptides remains challenging because their typically short sequences limit traditional feature extraction effectiveness, while homology-based methods incur high...
Jiang-Li Li, Quan Zou, Yan-Su Wang et al.· Bioinformatics· 0 citations
HMA-GCA, a novel framework that integrates hybrid manifold augmentation and gated cross-attention for CMI prediction, not only achieves state-of-the-art predictive performance but also provides interpretable insights into the molecular features.
Yun-peng Hu, Yan-Su Wang, Yi-Feng Bai et al.· Bioinform.· 0 citations
Recent progress in predicting RNA modification site-disease associations is summarized, with a focus on common modifications such as m6A, m1A, and m7G, and key challenges in this field are highlighted.
Chunyan Ao, Shihu Jiao, Xi Su et al.· Briefings in Bioinformatics· 0 citations
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