Zobrazeno 1 - 10
of 204 924
pro vyhledávání: '"Drug Interaction"'
Predicting drug-drug interaction (DDI) plays an important role in pharmacology and healthcare for identifying potential adverse interactions and beneficial combination therapies between drug pairs. Recently, a flurry of graph learning methods have be
Externí odkaz:
http://arxiv.org/abs/2410.18583
Autor:
Zheng, Liangwei Nathan, Dong, Chang George, Zhang, Wei Emma, Chen, Xin, Yue, Lin, Chen, Weitong
Drug-drug interaction (DDI) identification is a crucial aspect of pharmacology research. There are many DDI types (hundreds), and they are not evenly distributed with equal chance to occur. Some of the rarely occurred DDI types are often high risk an
Externí odkaz:
http://arxiv.org/abs/2410.12249
Subgraph-based methods have proven to be effective and interpretable in predicting drug-drug interactions (DDIs), which are essential for medical practice and drug development. Subgraph selection and encoding are critical stages in these methods, yet
Externí odkaz:
http://arxiv.org/abs/2411.01535
Recent studies suggest that drug-drug interaction (DDI) prediction via computational approaches has significant importance for understanding the functions and co-prescriptions of multiple drugs. However, the existing silico DDI prediction methods eit
Externí odkaz:
http://arxiv.org/abs/2408.15310
Autor:
Chen, Jingcheng1, Li, Jiangshuo1, Wu, Jingxuan1, Song, Yuqin1, Li, Lijun1, Zhang, Jianxiong1, Dong, Ruihua1 rui_hua_dong_rw@163.com
Publikováno v:
Pharmacology Research & Perspectives. Aug2024, Vol. 12 Issue 4, p1-9. 9p.
Predicting unknown drug-drug interactions (DDIs) is crucial for improving medication safety. Previous efforts in DDI prediction have typically focused on binary classification or predicting DDI categories, with the absence of explanatory insights tha
Externí odkaz:
http://arxiv.org/abs/2409.05592
Autor:
Randy E. David, Kelsy Gibson Ferrara, Joshua Schrecker, David Paculdo, Steven Johnson, Rhonda Bentley-Lewis, Rebecca Heltsley, John W. Peabody
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background Clinical management of patients with chronic cardiometabolic disease is complicated by polypharmacy. Consequently, when patients clinically deteriorate, physicians are challenged to distinguish both medication nonadherence and dru
Externí odkaz:
https://doaj.org/article/fe40f4cc81ec467da715f599fe3c6ba3
Autor:
Dong, Liangcheng1, Feng, Baoming1, Deng, Zengqian1, Wang, Jinlong1, Ni, Peihao1, Zhang, Yuanyuan1 yyzhang1217@163.com
Publikováno v:
Quantitative Biology. Sep2024, Vol. 12 Issue 3, p255-270. 16p.
Autor:
Qiu, Jiayue1 (AUTHOR) jiayue.qiu@mpu.edu.mo, Yan, Xiao1 (AUTHOR), Tian, Yanan1 (AUTHOR), Li, Qin1 (AUTHOR), Liu, Xiaomeng1 (AUTHOR), Yang, Yuwei1 (AUTHOR), Tong, Henry H. Y.1 (AUTHOR), Liu, Huanxiang1 (AUTHOR) hxliu@mpu.edu.mo
Publikováno v:
International Journal of Molecular Sciences. Nov2024, Vol. 25 Issue 21, p11385. 18p.