
Yang Cao
Articles
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Nov 21, 2024 |
mdpi.com | Xin Li |Yang Cao |Yu Xin Liu |Wenwen Fang
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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Oct 30, 2024 |
onlinelibrary.wiley.com | Yan Zhang |Yang Cao |XueBin Zhang |Jie Lin
1 Introduction According to a recent epidemiological survey by the International Diabetes Federation (IDF), ≈536 million adults worldwide were estimated to be afflicted with diabetes in 2021, with this number projected to surpass 700 million by 2045.[1] The alarming prevalence of diabetes not only imposes a heavy medical burden but also ranks as a leading cause of death globally,[2] emphasizing the pertinent need to better manage diabetes and its related complications.
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Oct 8, 2024 |
mdpi.com | Chen Tang |Yang Cao |Jie Gao |Gang Luo
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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Sep 5, 2024 |
onlinelibrary.wiley.com | Management Fuzhou Fuzhou |Yang Cao |Neng Shen
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES , , & (2020). Hardware in the loop testing of automatic lift rropping system for heavy trucks. Journal of Intelligent & Robotic Systems, 98(3-4), 693–703. https://doi.org/10.1007/s10846-019-01092-0 (2002). The new public management: Improving research and policy dialogue. Journal of Policy Analysis and Management, 4(3), 95–105. https://doi.org/10.1023/A:1014927607218 , , & (2024).
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Sep 5, 2024 |
digitalcommons.library.tmc.edu | Wubing Zhang |Jiaye Chen |Katherine A. Donovan |Yang Cao
Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largely unknown. Here, we developed a machine learning model, model-free analysis of protein degradability (MAPD), to predict degradability from features intrinsic to protein targets.
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