Zobrazeno 1 - 10
of 593
pro vyhledávání: '"drug-target interactions"'
Accurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model
Autor:
Ying Li, Xingyu Zhang, Zhuo Chen, Hongye Yang, Yuhui Liu, Huiqing Wang, Ting Yan, Jie Xiang, Bin Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Accurate prediction of drug-target interactions (DTIs) is crucial for advancing drug discovery and repurposing. Computational methods have significantly improved the efficiency of experimental predictions for drug-target interactions in West
Externí odkaz:
https://doaj.org/article/69626ab85e7547329ce14fcdec994394
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Drug repurposing is a promising approach in the field of drug discovery owing to its efficiency and cost-effectiveness. Most current drug repurposing models rely on specific datasets for training, which limits their predictive accuracy and s
Externí odkaz:
https://doaj.org/article/1a854e3ed4214e158d1b1cc7af65590d
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 751-758 (2024)
Purposes The prediction of drug-target interactions plays a crucial role in drug relocation and drug development. Methods A multi-feature fusion algorithm is proposed based on the combination of Redundancy-Correlation and Interaction (RCI), and the p
Externí odkaz:
https://doaj.org/article/8439cc9e80414c2abeb933ef1e0384df
Autor:
Ali K. Abdul Raheem, Ban N. Dhannoon
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 11 (2024)
The typical drug development approach is slow, costly, and fraught with failure - scientists examine millions of compounds, but only a few make it to preclinical or clinical testing. Machine learning (ML), a subset of AI, is a fast-expanding subject
Externí odkaz:
https://doaj.org/article/796adb060d4f476a892fb4fffbe48dbd
Autor:
Yi-Lun Zhang, Wen-Tao Wang, Jia-Hui Guan, Deepak Kumar Jain, Tian-Yang Wang, Swalpa Kumar Roy
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-11 (2024)
Abstract Drug–target interactions is essential for advancing pharmaceuticals. Traditional drug–target interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements in computing power have elevated the importance of
Externí odkaz:
https://doaj.org/article/b3a4687435f4481e90167f57a38d035e
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-12 (2024)
Abstract The drug discovery process is demanding and time-consuming, and machine learning-based research is increasingly proposed to enhance efficiency. A significant challenge in this field is predicting whether a drug molecule’s structure will in
Externí odkaz:
https://doaj.org/article/1135195fc0644c909b882b83cfb43113
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Examining potential drug–target interactions (DTIs) is a pivotal component of drug discovery and repurposing. Recently, there has been a significant rise in the use of computational techniques to predict DTIs. Nevertheless, previous invest
Externí odkaz:
https://doaj.org/article/5c16b2b78f494b6b9b6f31340b115d25
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Accurate identification of potential drug-target pairs is a crucial step in drug development and drug repositioning, which is characterized by the ability of the drug to bind to and modulate the activity of the target molecule, resulting in the desir
Externí odkaz:
https://doaj.org/article/b85895924bdd4eecb27c8d93a354e944
Autor:
Junjun Zhang, Minzhu Xie
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract Background Identifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are costly and time consuming. Effective computational methods to predict DTIs are useful to speed up
Externí odkaz:
https://doaj.org/article/bc857e5370954f2c8f7717301677d9c3
Autor:
Lingzhi Hu, Chengzhou Fu, Zhonglu Ren, Yongming Cai, Jin Yang, Siwen Xu, Wenhua Xu, Deyu Tang
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background The experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively identifying drug–target interactions (DTIs) has been the focus of research. At present, many machi
Externí odkaz:
https://doaj.org/article/be68071e775c4f8ab1f05b1a6e0dc4bd