Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xianglu Xiao"'
Autor:
Zhangming Niu, Xianglu Xiao, Wenfan Wu, Qiwei Cai, Yinghui Jiang, Wangzhen Jin, Minhao Wang, Guojian Yang, Lingkang Kong, Xurui Jin, Guang Yang, Hongming Chen
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Accurately predicting ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties early in drug development is essential for selecting compounds with optimal pharmacokinetics and minimal toxicity. Existing ADMET-related
Externí odkaz:
https://doaj.org/article/4e067a8038d445578f77cf5d1cdc40e2
Autor:
Yinghui Jiang, Shuting Jin, Xurui Jin, Xianglu Xiao, Wenfan Wu, Xiangrong Liu, Qiang Zhang, Xiangxiang Zeng, Guang Yang, Zhangming Niu
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-9 (2023)
Informative molecular representation is a vital prerequisite in artificial intelligence-driven de novo drug discovery, however, mapping the pharmacophoric information is underexploited by the atom-level based molecular graph representation. Here, the
Externí odkaz:
https://doaj.org/article/aa1a6806e682435c90f75b0b6e2b127c
Autor:
Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang
Publikováno v:
IEEE Access, Vol 8, Pp 118869-118883 (2020)
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with a
Externí odkaz:
https://doaj.org/article/33ff80bdfafb4b9ebd7010bede8fd636
Autor:
Qijie Chen, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Zhangming Niu, Hongming Chen
In recent years, the development of natural language process (NLP) technologies and deep learning hardware has led to significant improvement in large language models(LLMs). The ChatGPT, the state-of-the-art LLM built on GPT-3.5, shows excellent capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98912b512328498d1fc6b7c33e964c80
https://doi.org/10.1101/2023.04.19.537463
https://doi.org/10.1101/2023.04.19.537463
Autor:
Haotong Sun, Yinghui Jiang, Minhao Wang, Xianglu Xiao, Xinchen Wan, Miru Tang, Xurui Jin, Zhangming Niu, Hongming Chen
Rapid and accurate prediction of molecular properties is a fundamental task in drug discovery. In recent years, deep learning-based molecular property prediction methods have received much attention and recent successes have shown that learning the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e289e4788ed7a4ca6ad56b6de31b0a8
https://doi.org/10.26434/chemrxiv-2022-3b0js
https://doi.org/10.26434/chemrxiv-2022-3b0js
Autor:
Jiang Yinghui, Hui Ye, Guang Yang, Li Lao, Minhao Wang, Zhangming Niu, Evandro Fei Fang, Yuan Gao, Xianglu Xiao, Wade Menpes-Smith, Shaoping Hu, Jun Xia
Publikováno v:
IEEE Access, Vol 8, Pp 118869-118883 (2020)
IEEE Access
IEEE Access
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with a
Autor:
Chenglong Xie, Xu-Xu Zhuang, Zhangming Niu, Ruixue Ai, Sofie Lautrup, Shuangjia Zheng, Yinghui Jiang, Ruiyu Han, Tanima Sen Gupta, Shuqin Cao, Maria Jose Lagartos-Donate, Cui-Zan Cai, Li-Ming Xie, Domenica Caponio, Wen-Wen Wang, Tomas Schmauck-Medina, Jianying Zhang, He-ling Wang, Guofeng Lou, Xianglu Xiao, Wenhua Zheng, Konstantinos Palikaras, Guang Yang, Kim A. Caldwell, Guy A. Caldwell, Han-Ming Shen, Hilde Nilsen, Jia-Hong Lu, Evandro F. Fang
Publikováno v:
Nature Biomedical Engineering
A reduced removal of dysfunctional mitochondria is common to aging and age-related neurodegenerative pathologies such as Alzheimer’s disease (AD). Strategies for treating such impaired mitophagy would benefit from the identification of mitophagy mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3e5a9e23b0232005bb6ac90bd68d51e
http://hdl.handle.net/10852/99931
http://hdl.handle.net/10852/99931
Autor:
Jiahua Rao, Zhangming Niu, Yuedong Yang, Xianglu Xiao, Shuangjia Zheng, Jixian Zhang, Evandro Fei Fang, Ying Song
Publikováno v:
Briefings in Bioinformatics. 22
Biomedical knowledge graphs (KGs), which can help with the understanding of complex biological systems and pathologies, have begun to play a critical role in medical practice and research. However, challenges remain in their embedding and use due to