DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations Article Swipe

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Bo Wen , Chenwei Wang , Kai Li , Ping Han , Matthew V. Holt , Sara R. Savage , Jonathan T. Lei , Yongchao Dou , Zhiao Shi , Yi Li , Bing Zhang ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1038/s41592-025-02797-x

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41592-025-02797-x
PDF: https://www.nature.com/articles/s41592-025-02797-x.pdf
OA Status: hybrid
Cited By: 4
References: 68
Related Works: 10
OpenAlex ID: https://openalex.org/W4413621217

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DOI: https://doi.org/10.1038/s41592-025-02797-x

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Title: DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations

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Language: en

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Publication year: 2025

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Publication date: 2025-08-26

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Authors: Bo Wen, Chenwei Wang, Kai Li, Ping Han, Matthew V. Holt, Sara R. Savage, Jonathan T. Lei, Yongchao Dou, Zhiao Shi, Yi Li, Bing Zhang

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Landing page: https://doi.org/10.1038/s41592-025-02797-x

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PDF URL: https://www.nature.com/articles/s41592-025-02797-x.pdf

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Concepts: Deep learning, Artificial intelligence, Quality (philosophy), Computer science, Computational biology, Machine learning, Pattern recognition (psychology), Biology, Physics, Quantum mechanics

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Cited by: 4

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