UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design

UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design

Abstract The 5′ UTR is critical for mRNA stability and translation efficiency in therapeutics. We developed UTR-Insight, a model integrating a pretrained language model with a CNN-Transformer architecture, explaining 89.1% of the mean ribosome load (MRL) variation in random 5′ UTRs and 82.8% in endo...

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Bibliographic Details
Main Authors: Saichao Pan, Hanyu Wang, Hang Zhang, Zan Tang, Lianqiang Xu, Zhixiang Yan, Yong Hu
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Genomics
Subjects:
5′ UTR
Mean ribosome load
Deep learning
mRNA therapeutics
In silico screening
Online Access:https://doi.org/10.1186/s12864-025-11269-7
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https://doi.org/10.1186/s12864-025-11269-7

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