PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.

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Title: PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.
Authors: Liu, Enyan1 (AUTHOR), Hu, Yueming1 (AUTHOR), Liu, Liya1 (AUTHOR), Chen, Yifan1 (AUTHOR), Zhang, Shilong1 (AUTHOR), Li, Sida1 (AUTHOR), Chao, Haoyu1 (AUTHOR), Xie, Luyao1 (AUTHOR), Shen, Yi1 (AUTHOR), Wu, Liangwei1 (AUTHOR), Fernández Massó, Julio Raúl2 (AUTHOR), Chen, Ming1 (AUTHOR) mchen@zju.edu.cn
Source: PLoS Computational Biology. 6/2/2026, Vol. 22 Issue 6, p1-19. 19p.
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  Data: PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/2/2026, Vol. 22 Issue 6, p1-19. 19p.
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        Value: 10.1371/journal.pcbi.1014369
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              Text: 6/2/2026
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