Zobrazeno 1 - 10
of 439
pro vyhledávání: '"graph transformer"'
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract CircRNAs are a type of circular non-coding RNA whose associations with drug sensitivities have been demonstrated in recent studies. Due to the high cost of biomedical experiments for detecting the associations between circRNAs and drug sensi
Externí odkaz:
https://doaj.org/article/8ac5e609ef494abeb8e3dace9e24c526
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-18 (2024)
Abstract State‑of‑the‑art medical studies proved that predicting CYP450 enzyme inhibitors is beneficial in the early stage of drug discovery. However, accurate machine learning-based (ML) in silico methods for predicting CYP450 inhibitors remai
Externí odkaz:
https://doaj.org/article/12cbfa8efbcd4f1ba8c069e2ebd4a4fa
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Drug-drug interactions (DDIs) can result in unexpected pharmacological outcomes, including adverse drug events, which are crucial for drug discovery. Graph neural networks have substantially advanced our ability to model molecular
Externí odkaz:
https://doaj.org/article/ab31b89159da4698b7343802f725e9f6
Autor:
Cao Zhang, Jiangqin He, Xingyuan Liang, Qinye Shi, Lijia Peng, Shuai Wang, Jiannan He, Jianhong Xu
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Postoperative pain is a prevalent symptom experienced by patients undergoing surgical procedures. This study aims to develop deep learning algorithms for predicting acute postoperative pain using both essential patient details and
Externí odkaz:
https://doaj.org/article/3ae1bb9b852e4c5b8b1823eddeedc400
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8197-8212 (2024)
Abstract In the field of molecular biology, graph representation learning is crucial for molecular structure analysis. However, challenges arise in recognising functional groups and distinguishing isomers due to a lack of spatial structure informatio
Externí odkaz:
https://doaj.org/article/d09c4c94bc2b46cda84da9d273be2745
Autor:
Wenzhan Zhang, Ziyao Liu
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e38916- (2024)
In social networks, maximizing influence is an important research direction. However, traditional influence maximization algorithms often overlook the attribute information of nodes and the heterogeneity of networks, leading to inefficiency and inacc
Externí odkaz:
https://doaj.org/article/d9fff03099a4403f98c9fa19680cb6e0
Autor:
Yaosen Min, Ye Wei, Peizhuo Wang, Xiaoting Wang, Han Li, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Ji Wu, Dan Zhao, Jianyang Zeng
Publikováno v:
Advanced Science, Vol 11, Iss 40, Pp n/a-n/a (2024)
Abstract Accurate prediction of protein‐ligand binding affinities is an essential challenge in structure‐based drug design. Despite recent advances in data‐driven methods for affinity prediction, their accuracy is still limited, partially becau
Externí odkaz:
https://doaj.org/article/933ede7b6bfc412c80544f2c50008594
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
MotivationGenome assembly aims to reconstruct the whole chromosome-scale genome sequence. Obtaining accurate and complete chromosome-scale genome sequence serve as an indispensable foundation for downstream genomics analyses. Due to the complex repea
Externí odkaz:
https://doaj.org/article/217413eff0d9492faf9e9d6141b7f779
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104105- (2024)
With the rapid development of LiDAR and artificial intelligence technologies, 3D point cloud semantic segmentation has become a highlight research topic. This technology is able to significantly enhance the capabilities of building information modeli
Externí odkaz:
https://doaj.org/article/9ebccd5acd104e239f477ce475219a0c
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Identification of potential drug–disease associations is important for both the discovery of new indications for drugs and for the reduction of unknown adverse drug reactions. Exploring the potential links between drugs and dise
Externí odkaz:
https://doaj.org/article/7fd20ccd36d246e09e6c032fe82c10de