Cargando…
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
Phenotype-based compound screening has advantages over target-based drug discovery, but is unscalable and lacks understanding of mechanism. Chemical-induced gene expression profile provides a mechanistic signature of phenotypic response. However, the use of such data is limited by their sparseness,...
Autores principales: | Pham, Thai-Hoang, Qiu, Yue, Zeng, Jucheng, Xie, Lei, Zhang, Ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009091/ https://www.ncbi.nlm.nih.gov/pubmed/33796820 http://dx.doi.org/10.1038/s42256-020-00285-9 |
Ejemplares similares
-
A deep learning framework for high-throughput mechanism-driven phenotype compound screening
por: Pham, Thai-Hoang, et al.
Publicado: (2020) -
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
por: Pham, Thai-Hoang, et al.
Publicado: (2022) -
Rapid Identification of Antifungal Compounds against Exserohilum rostratum Using High Throughput Drug Repurposing Screens
por: Sun, Wei, et al.
Publicado: (2013) -
Phenotypic screening of low molecular weight compounds is rich ground for repurposed, on-target drugs
por: Lipinski, Christopher A., et al.
Publicado: (2022) -
Correction: Rapid Identification of Antifungal Compounds against Exserohilum rostratum Using High Throughput Drug Repurposing Screens
por: Sun, Wei, et al.
Publicado: (2013)