Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yue hua Feng"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity. DDI detection in
Externí odkaz:
https://doaj.org/article/39c8572784ac4983ab9510e04db8640b
Autor:
Yue-Hua Feng, Shao-Wu Zhang
Publikováno v:
Molecules, Vol 27, Iss 9, p 3004 (2022)
The treatment of complex diseases by using multiple drugs has become popular. However, drug-drug interactions (DDI) may give rise to the risk of unanticipated adverse effects and even unknown toxicity. Therefore, for polypharmacy safety it is crucial
Externí odkaz:
https://doaj.org/article/e5a3605feb184cf39c7b14a545dad49a
Publikováno v:
Lipids in Health and Disease, Vol 17, Iss 1, Pp 1-8 (2018)
Abstract Background Scavenger receptor BI (SR-BI) is a classic high-density lipoprotein (HDL) receptor, which mediates selective lipid uptake from HDL cholesterol esters (HDL-C). Apolipoprotein M (ApoM), as a component of HDL particles, could influen
Externí odkaz:
https://doaj.org/article/6956ca8026cd48eab7569f9225dc99ce
Autor:
Jiang Wei, Yang Yu, Guang-hua Luo, Yue-hua Feng, Yuan-ping Shi, Jun Zhang, Qin-feng Mu, Miao-mei Yu, Li-li Pan, Maria Berggren-Söderlund, Peter Nilsson-Ehle, Xiao-ying Zhang, Ning Xu
Publikováno v:
Lipids in Health and Disease, Vol 16, Iss 1, Pp 1-8 (2017)
Abstract Background We have previously demonstrated that estrogen could significantly enhance expression of apolipoprotein M (apoM), whereas the molecular basis of its mechanism is not fully elucidated yet. To further investigate the mechanism behind
Externí odkaz:
https://doaj.org/article/1bd6976244b04b4cae80b84e808e2ed6
Publikováno v:
Briefings in Bioinformatics. 24
Current machine learning-based methods have achieved inspiring predictions in the scenarios of mono-type and multi-type drug–drug interactions (DDIs), but they all ignore enhancive and depressive pharmacological changes triggered by DDIs. In additi
Publikováno v:
IEEE Wireless Communications Letters. 10:498-502
The future mobile system shall be able to support satellite access to provide an ubiquitous wireless connection service. Satellite communication is vulnerable to spoofing attacks due to the open nature of wireless channels, especially for the downlin
Publikováno v:
Briefings in bioinformatics. 23(3)
It is tough to detect unexpected drug–drug interactions (DDIs) in poly-drug treatments because of high costs and clinical limitations. Computational approaches, such as deep learning-based approaches, are promising to screen potential DDIs among nu
Akademický článek
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Publikováno v:
Analytical biochemistry. 646
It is crucial to identify DDIs and explore their underlying mechanism (e.g., DDIs types) for polypharmacy safety. However, the detection of DDIs in assays is still time-consuming and costly, due to the need for experimental search over a large space
Although the polypharmacy has both higher therapeutic efficacy and less drug resistance in combating complex diseases, drug-drug interactions (DDIs) may trigger unexpected pharmacological effects, such as side effects, adverse reactions, or even seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0948b535ada90970a29b64521c8c353
https://doi.org/10.21203/rs.3.rs-397281/v1
https://doi.org/10.21203/rs.3.rs-397281/v1