Accès ouvert
2026
preprint
OpenAlex
Mei Lang, Xingyu Fang, Zhen Wang, Mingxuan Chen et autres
A bstract Although mRNA codon language models provide a generalizable framework for biological sequence design, effective CDS design requires both a learned sequence design space that captures biological constraints and context-configurable design preferences. Here we present CodonMamba, a codon language model framework …
mo, cn
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Accès ouvert
2026
preprint
OpenAlex
Zhen Wang, Mingxuan Chen, Xiagu Zhu, Xingyu Fang et autres
A bstract The 5′ untranslated region (5′ UTR) is a key regulatory element that governs mRNA translation and protein output. However, existing computational methods typically address isolated tasks such as functional prediction or sequence optimization, limiting their ability to support rational design …
cn
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Accès ouvert
2025
erratum
OpenAlex
Zhen Wang
A correction refers to a change to their article that the author wishes to publish after publication. The publication of this article is subject to Frontiers' editorial approval.• Please read through all the templates before choosing • Pick the most relevant text …
cn
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Accès ouvert
2025
article
OpenAlex
Zhen Wang
Introduction The accurate reconstruction and prediction of dust and polluted aerosol trajectories in educational environments are critical for assessing air quality and mitigating health risks. Traditional numerical models for aerosol transport rely on Eulerian or Lagrangian approaches, which often suffer from trade-offs …
cn
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Accès ouvert
2025
article
OpenAlex
Qing Li, Xiangtao Lu, Zhen Wang, Rong Fang
The seismic performance of low-gravity-center cable-stayed bridges is influenced by their structural system. This paper introduces a novel anti-seismic structural system designed to enhance the earthquake resistance of low-gravity-center cable-stayed bridges while reducing secondary internal forces during operation. A total of 47 …
cn
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2025
article
OpenAlex
Yongrui Wang, Zhen Wang, Yanjun Li, Pengju Yan et autres
Small-molecule drugs play a critical role in cancer therapy by selectively targeting key signaling pathways that drive tumor growth. While deep learning models have advanced drug discovery, there remains a lack of generative frameworks for de novo covalent molecule design using a …
cn
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