
Tong Pan
Articles
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Jan 6, 2025 |
onlinelibrary.wiley.com | Yuling Guo |Qing Zhang |Bi Zhang |Tong Pan
AD Alzheimer's disease AITC allyl isothiocyanate AL ad libitum BECN1 beclin 1 CA cinnamaldehyde C.
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Dec 11, 2024 |
mdpi.com | Tong Pan |Guang Han |Qishun Fan |Hongkui Bai
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Dec 2, 2024 |
mdpi.com | Yuliang Ma |Xiwei Qin |Tong Pan |Jianzhou Chen
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Nov 15, 2024 |
mdpi.com | Ning Feng |Xiwei Qin |Yuliang Ma |Tong Pan
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jul 2, 2024 |
biorxiv.org | Tong Pan |Yue Bi |Xiaoyu Wang |Ying Zhang
AbstractThe accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme functional and structural information.
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