Cargando…
Topology-enhanced molecular graph representation for anti-breast cancer drug selection
BACKGROUND: Breast cancer is currently one of the cancers with a higher mortality rate in the world. The biological research on anti-breast cancer drugs focuses on the activity of estrogen receptors alpha (ER[Formula: see text] ), the pharmacokinetic properties and the safety of the compounds, which...
Autores principales: | Gao, Yue, Chen, Songling, Tong, Junyi, Fu, Xiangling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484163/ https://www.ncbi.nlm.nih.gov/pubmed/36123643 http://dx.doi.org/10.1186/s12859-022-04913-6 |
Ejemplares similares
-
Compressed graph representation for scalable molecular graph generation
por: Kwon, Youngchun, et al.
Publicado: (2020) -
Text-Graph Enhanced Knowledge Graph Representation Learning
por: Hu, Linmei, et al.
Publicado: (2021) -
Drug response prediction using graph representation learning and Laplacian feature selection
por: Xie, Minzhu, et al.
Publicado: (2022) -
Disordered topological graphs enhancing nonlinear phenomena
por: Jia, Zhetao, et al.
Publicado: (2023) -
A Similarity Search Using Molecular Topological Graphs
por: Fukunishi, Yoshifumi, et al.
Publicado: (2009)