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
Background Manganese (Mn)-induced neurotoxicity is a major public health concern. The aim of this study is to assess whether retinoic acid, a metabolite of vitamin A, can counteract manganese-induced neurotoxicity in SH-SY5Y cells by counteracting epigenetic dysregulation. Methods In vivo, we assessed neurobehavioral f...
Chun-Yan Ao, Hao Liu, Ru-Yun Ban et al.· Frontiers in Pharmacology· 0 citations
Results indicate that combining protein language models with sequence modeling and class-imbalance learning strategies is an effective way to improve peptide hormone prediction and to improve the recognition of hormone peptides as the minority class.
Chun-Yan Ao, Shihu Jiao, Xi Su et al.· Journal of Advanced Research· 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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