A review of methodological evolution of RNA modification site prediction highlights standardized benchmarking, model generalization, and multi-source information integration as key priorities for future research to promote more reliable and practical RNA modification site prediction models.
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
