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Chunyan Ao

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Review Oct 2026

Machine Learning Methods and Evaluation in RNA Modification Site Prediction

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 · 0 citations
Open access Aug 2026

Retinoic acid alleviates manganese-induced neurotoxicity in SH-SY5Y cells via the Trim28/α-synuclein/H4K91ac epigenetic axis

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. · 0 citations
#protein folding Open access Oct 2026

pLM-HP: Peptide hormone prediction using pre-trained protein language model representations.

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. · 0 citations
Review Open access Jul 2026

Computational prediction of RNA modification site-disease associations: a systematic review

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. · 0 citations

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