Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xiaoqi Shan"'
Autor:
Cheng-Dong Li, Muhammad Junaid, Xiaoqi Shan, Yanjing Wang, Xiangeng Wang, Abbas Khan, Dong-Qing Wei
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
C99 is the immediate precursor for amyloid beta (Aβ) and therefore is a central intermediate in the pathway that is believed to result in Alzheimer’s disease (AD). It has been suggested that cholesterol is associated with C99, but the dynamic deta
Externí odkaz:
https://doaj.org/article/1d3b7c391c144e86b4df9b71d3253ec6
Autor:
Yu-Fang Zhang, Xiangeng Wang, Aman Chandra Kaushik, Yanyi Chu, Xiaoqi Shan, Ming-Zhu Zhao, Qin Xu, Dong-Qing Wei
Publikováno v:
Frontiers in Chemistry, Vol 7 (2020)
Drug discovery is an academical and commercial process of global importance. Accurate identification of drug-target interactions (DTIs) can significantly facilitate the drug discovery process. Compared to the costly, labor-intensive and time-consumin
Externí odkaz:
https://doaj.org/article/1a18d5149b514feda39bbdf98299dd48
Autor:
Yanjing Wang, Mingming Jiang, Tianhang Chen, Dennis R. Salahub, Yi Xiong, Dong-Qing Wei, Xiaoqi Shan, Qiankun Wang, Yanyi Chu
Publikováno v:
Briefings in bioinformatics. 22(3)
Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug repositioning. To reduce the experimental cost, a large number of computational approaches have been proposed for this task. The machine learning-based model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34cf00afb640dfddb4f8e9ba98d76d20
https://pubmed.ncbi.nlm.nih.gov/32964234
https://pubmed.ncbi.nlm.nih.gov/32964234
Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug repositioning. To reduce heavily experiment cost, booming machine learning has been applied to this field and developed many computational methods, especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b779b446f2bd3e64d72c185afb74c65
Publikováno v:
Journal of chemical information and modeling. 59(11)
A drug may be metabolized by multiple cytochrome P450 (CYP450) isoforms. Predicting the metabolic fate of drugs is very important to prevent drug-drug interactions in the development of novel pharmaceuticals. Prediction of CYP450 enzyme-substrate sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::393503ce55088c15c77b5cca9df71ffb
https://pubmed.ncbi.nlm.nih.gov/31603319
https://pubmed.ncbi.nlm.nih.gov/31603319
Autor:
Xiaoqi Shan, Yanyi Chu, Yu-Fang Zhang, Xiangeng Wang, Wei Wang, Dong-Qing Wei, Aman Chandra Kaushik, Dennis R. Salahub, Yi Xiong
Publikováno v:
Briefings in bioinformatics. 22(1)
Drug–target interactions (DTIs) play a crucial role in target-based drug discovery and development. Computational prediction of DTIs can effectively complement experimental wet-lab techniques for the identification of DTIs, which are typically time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fce0b4e4e187a40328c3436862320862
https://pubmed.ncbi.nlm.nih.gov/31885041
https://pubmed.ncbi.nlm.nih.gov/31885041
Autor:
Xiaoqi, Shan1, Zhanxin, Guo1
Publikováno v:
Chinese Education & Society. Mar-Jun2011, Vol. 44 Issue 2/3, p95-103. 9p.
Publikováno v:
Journal of Chemical Information & Modeling; Nov2019, Vol. 59 Issue 11, p4577-4586, 10p
Publikováno v:
Ecological Indicators, Vol 142, Iss , Pp 109238- (2022)
The construction of the sponge city can effectively alleviate the problems of urban waterlogging and pollution and promote the city's sustainable development. However, few studies on sponge city construction take into account both natural background
Externí odkaz:
https://doaj.org/article/016513ff56bf497d90e18880e1d52000
Publikováno v:
Energies, Vol 14, Iss 3, p 599 (2021)
As the most basic unit of the national economy and administrative management, the low-carbon transformation of the vast counties is of great significance to China’s overall greenhouse gas emission reduction. Although the low-carbon evaluation (LCE)
Externí odkaz:
https://doaj.org/article/8a979f75834a43c8a288de7709bb04b5