Predicting RNA structures and functions by artificial intelligence
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Lang, M
Zhou, Y
Zhang, Y
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Abstract
RNA functions by interacting with its intended targets structurally. However, due to the dynamic nature of RNA molecules, RNA structures are difficult to determine experimentally or predict computationally. Artificial intelligence (AI) has revolutionized many biomedical fields and has been progressively utilized to deduce RNA structures, target binding, and associated functionality. Integrating structural and target binding information could also help improve the robustness of AI-based RNA function prediction and RNA design. Given the rapid development of deep learning (DL) algorithms, AI will provide an unprecedented opportunity to elucidate the sequence–structure–function relation of RNAs.
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Trends in Genetics
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© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
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Biological sciences
Biomedical and clinical sciences
Health sciences
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Zhang, J; Lang, M; Zhou, Y; Zhang, Y, Predicting RNA structures and functions by artificial intelligence, Trends in Genetics, 2023