Cargando…
Target identification among known drugs by deep learning from heterogeneous networks
Without foreknowledge of the complete drug target information, development of promising and affordable approaches for effective treatment of human diseases is challenging. Here, we develop deepDTnet, a deep learning methodology for new target identification and drug repurposing in a heterogeneous dr...
Autores principales: | Zeng, Xiangxiang, Zhu, Siyi, Lu, Weiqiang, Liu, Zehui, Huang, Jin, Zhou, Yadi, Fang, Jiansong, Huang, Yin, Guo, Huimin, Li, Lang, Trapp, Bruce D., Nussinov, Ruth, Eng, Charis, Loscalzo, Joseph, Cheng, Feixiong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150105/ https://www.ncbi.nlm.nih.gov/pubmed/34123272 http://dx.doi.org/10.1039/c9sc04336e |
Ejemplares similares
-
My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype
por: Zhou, Yadi, et al.
Publicado: (2021) -
Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes
por: Liu, Chuang, et al.
Publicado: (2020) -
A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications
por: Peng, He, et al.
Publicado: (2019) -
3D structural human interactome reveals proteome-wide perturbations by disease mutations
por: Xiong, Dapeng, et al.
Publicado: (2023) -
A genome-wide positioning systems network algorithm for in silico drug repurposing
por: Cheng, Feixiong, et al.
Publicado: (2019)