Cargando…
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures
Genome-wide identification of all target proteins of drug candidate compounds is a challenging issue in drug discovery. Moreover, emerging phenotypic effects, including therapeutic and adverse effects, are heavily dependent on the inhibition or activation of target proteins. Here we propose a novel...
Autores principales: | Sawada, Ryusuke, Iwata, Michio, Tabei, Yasuo, Yamato, Haruka, Yamanishi, Yoshihiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5760621/ https://www.ncbi.nlm.nih.gov/pubmed/29317676 http://dx.doi.org/10.1038/s41598-017-18315-9 |
Ejemplares similares
-
From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures
por: Namba, Satoko, et al.
Publicado: (2022) -
Predicting activatory and inhibitory drug–target interactions based on structural compound representations and genetically perturbed transcriptomes
por: Lee, Won-Yung, et al.
Publicado: (2023) -
Network-based characterization of drug-protein interaction signatures with a space-efficient approach
por: Tabei, Yasuo, et al.
Publicado: (2019) -
Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics
por: Iwata, Michio, et al.
Publicado: (2017) -
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm
por: Iwata, Michio, et al.
Publicado: (2019)