UTR-DynaPro: a CNN–transformer multimodal language model for decoding 5′UTR regulatory mechanisms

Haoye Shen; Shuo Liu; Fuqiang Guo; Jiajun Zhu; Jia Meng; Juntao Chen

doi:10.1038/s41598-026-42175-x

UTR-DynaPro: a CNN–transformer multimodal language model for decoding 5′UTR regulatory mechanisms

H Haoye Shen S Shuo Liu F Fuqiang Guo J Jiajun Zhu (Department of Surgery, Weill Cornell Medicine) J Jia Meng (Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, and Zhangjiang Institute for Advanced Study) J Juntao Chen

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published March 28, 2026

DOI 10.1038/s41598-026-42175-x

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (6)

H

Haoye Shen

S

Shuo Liu

F

Fuqiang Guo

J

Jiajun Zhu

Department of Surgery, Weill Cornell Medicine

J

Jia Meng

Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, and Zhangjiang Institute for Advanced Study

J

Juntao Chen

UTR-DynaPro: a CNN–transformer multimodal language model for decoding 5′UTR regulatory mechanisms

Article Details

Journal Info

Authors (6)

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