Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Keyun W"'
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 11, Pp 1-43 (2024)
Abstract Minimal Flavor Violation (MFV) offers an appealing framework for exploring physics beyond the Standard Model. Interestingly, within the MFV framework, a new colorless field that transforms non-trivially under a global SU(3)3 quark flavor gro
Externí odkaz:
https://doaj.org/article/2989645857aa4413a2542e8a319038b8
Autor:
Keyun Wang, Li Zhang, Sirui Zhang, Ye Liu, Jiawei Mao, Zhen Liu, Lin Xu, Kejia Li, Jianshu Wang, Yanni Ma, Jiayi Wang, Haitao Li, Zefeng Wang, Guohui Li, Hong Cheng, Mingliang Ye
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Protein methylation is a functionally important post-translational modification that occurs on diverse amino acid residues. The current proteomics approaches are inefficient to discover the methylation on residues other than Arg and Lys, whi
Externí odkaz:
https://doaj.org/article/04415a9ea8cc442f9dcb127fcf640e9c
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/cdaf495927634e70bee84bc324bb47f4
Autor:
Yuqiong Xia, Chang Liu, Xuejuan Zhao, Keyun Wu, Jianxia Cao, Yutian Cao, Cheng Zhu, Xianghan Zhang
Publikováno v:
Materials Today Bio, Vol 29, Iss , Pp 101345- (2024)
Natural enzyme-based catalytic cascades have garnered increasing attention in cancer therapy, but their clinical utility is greatly limited due to loss of function during in vivo delivery. Here, we developed an enzyme delivering nanoplatform (GCI@RPC
Externí odkaz:
https://doaj.org/article/4269257ec3d6472e8a82422be7e1b498
Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease
Autor:
He Zhu, Shen Qiao, Delong Zhao, Keyun Wang, Bin Wang, Yue Niu, Shunlai Shang, Zheyi Dong, Weiguang Zhang, Ying Zheng, Xiangmei Chen
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionCardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patien
Externí odkaz:
https://doaj.org/article/7fa6fdc6579041ec944d919a35b476db
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 12, Pp 1-26 (2023)
Abstract Upcoming neutrino telescopes promise a new window onto the interactions of neutrinos with matter at ultrahigh energies (E ν = 107–1010 GeV), and the possibility to detect deviations from the Standard Model predictions. In this paper, we u
Externí odkaz:
https://doaj.org/article/4c132c7d219948f1923bf8f9c14c437f
Autor:
Yuqiong Xia, Keyun Wu, Chang Liu, Xuejuan Zhao, Jun Wang, Jianxia Cao, Zhaoxu Chen, Minchao Fang, Jie Yu, Cheng Zhu, Xianghan Zhang, Zhongliang Wang
Publikováno v:
Advanced Science, Vol 11, Iss 10, Pp n/a-n/a (2024)
Abstract Despite the potential of protein therapeutics, the cytosolic delivery of proteins with high efficiency and bioactivity remains a significant challenge owing to exocytosis and lysosomal degradation after endocytosis. Therefore, it is importan
Externí odkaz:
https://doaj.org/article/0b2a4eb2c8814a25bb6f52e805d13e51
Autor:
Hui Huang, Qian Wang, Yayong Luo, Zhengchun Tang, Fang Liu, Ruimin Zhang, Guangyan Cai, Jing Huang, Li Zhang, Li Zeng, Xueying Cao, Jian Yang, Yong Wang, Keyun Wang, Yaqing Li, Qihu Li, Xiangmei Chen, Zheyi Dong
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
IntroductionThere are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the co
Externí odkaz:
https://doaj.org/article/21d5f554c62f41fe8e410c18ab28491d
Autor:
Xiaomeng Wang, Tiantian Zhang, Qinxue Chang, Chun Wang, Keyun Wang, Zeyang Yu, Honglu Zhang, Huijie Huang, Desheng Song, Elissa Peixoto, Jie Yang, Changping Li, Zhuang Cui, Yuanyuan Liu, Jun Ma
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Acute and early HIV (AEH) infection is characterized by a high viral load and infectivity. Approximately 50% of cases of HIV-1 transmission occur during AEH. Understanding sexual behaviour trajectories would be useful for predicti
Externí odkaz:
https://doaj.org/article/4bcb21f2596a450992a1accbff8ccce9
Publikováno v:
Cell Insight, Vol 2, Iss 3, Pp 100090- (2023)
Histidine methylation serves as an intriguing strategy to introduce altered traits of target proteins, including metal ion chelation, histidine-based catalysis, molecular assembly, and translation regulation. As a newly identified histidine methyltra
Externí odkaz:
https://doaj.org/article/f2dbb589b2c7482ab321b49c66aebee6