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Jian-Hua Jia

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Open access Aug 2026

TriTower-m6Am: a triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for N6,2’-O-dimethyladenosine site prediction

Background N6,2’-O-dimethyladenosine (m6Am) is a cap-proximal mRNA modification deposited by PCIF1 at the first transcribed nucleotide of eukaryotic mRNAs. Knowing where m6Am sites sit across the transcriptome would help explain how cells tune mRNA stability and translation, but current computational predictors typical...

Kai-Feng Xiong, Jian-Hua Jia · 0 citations
Open access Jul 2026

DB-IRES: a deep learning model based on ensemble learning for predicting internal ribosome entry sites.

DB-IRES serves as a reliable and precise computational tool for predicting IRES elements and enables more in-depth functional investigations of IRES biology and supports wider applications in RNA research and the development of associated therapeutics.

Pengxuan Song, Mingwei Sun, Jianhua Jia · 0 citations

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