大语言建模和深度学习为 RNA 结构预测提供了启示。

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Methods Pub Date : 2024-11-21 DOI:10.1038/s41592-024-02488-z
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Large language modeling and deep learning shed light on RNA structure prediction.
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
期刊最新文献
Global analysis of endogenous protein disorder in cells. CelloType: a unified model for segmentation and classification of tissue images. Super-resolution imaging of fast morphological dynamics of neurons in behaving animals. Accurate RNA 3D structure prediction using a language model-based deep learning approach. Large language modeling and deep learning shed light on RNA structure prediction.
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