About: Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics
Creator	Zheng, Wei Huang, Ruili Simeonov, Anton Xia, Menghang Zhu, Hu Chen, Catherine Hall, Mathew Sakamuru, Srilatha
Source	ArXiv
abstract	The recent global pandemic of Coronavirus Disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the hope to repurpose approved drugs as potential treatments for COVID-19. However, the antiviral mechanisms of action for the drugs found active in these phenotypic screens are largely unknown. To deconvolute the viral targets for more effective anti-COVID-19 drug development, we mined our in-house database of approved drug screens against 994 assays and compared their activity profiles with the drug activity profile in a cytopathic effect (CPE) assay of SARS-CoV-2. We found that the autophagy and AP-1 signaling pathway activity profiles are significantly correlated with the anti-SARS-CoV-2 activity profile. In addition, a class of neurology/psychiatry drugs was found significantly enriched with anti-SARS-CoV-2 activity. Taken together, these results have provided new insights into SARS-CoV-2 infection and potential targets for COVID-19 therapeutics.
has issue date	2020-07-23(xsd:dateTime)
has license	arxiv
sha1sum (hex)	2dbfe21c0dce2dce07b39369c822ffbf807f3979
resource representing a document's title	Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics
resource representing a document's body	covid:2dbfe21c0dce2dce07b39369c822ffbf807f3979#body_text
is schema:about of	named entity 'CPE' named entity '2019' covid:arg/2dbfe21c0dce2dce07b39369c822ffbf807f3979 named entity 'However' named entity 'repurpose' named entity 'drug' named entity 'cytopathic' named entity 'assay' named entity 'AP-1' named entity 'infection' named entity 'SARS-CoV-2' named entity 'global pandemic' named entity 'AP-1' named entity 'approved drug' named entity 'activity profile' named entity 'signaling pathway' named entity 'high throughput screening' named entity 'COVID-19' named entity 'AP-1' named entity 'database' named entity 'approved drug' named entity 'PMDA' named entity 'virus infection' named entity 'genomes' named entity 'COVID-19' named entity 'COVID' named entity 'SARS-CoV-2' named entity 'AP-1' named entity 'AP-1' named entity 'EMA' named entity 'phenotypic' named entity 'psychiatry' named entity 'pathogenesis' named entity 'host cells' named entity 'Psychoactive drugs' named entity 'Japan' named entity 'spike protein' named entity 'HCQ' named entity 'signaling pathway' named entity 'SARS-CoV' named entity 'antiviral' named entity 'SARS-CoV-2' named entity 'COVID-19' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'COVID-19' named entity 'SARS-CoV-2' named entity 'drug development' named entity 'autophagy' named entity 'MERS-CoV' named entity 'endocytosis' named entity 'SARS-CoV-2' named entity 'neurology' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'statistical significance' named entity 'FDA' named entity 'drug targets' named entity 'coronaviruses' named entity 'Drug development' named entity 'AP-1' named entity 'cell entry' named entity 'SARS-CoV' named entity '10 million people' named entity 'clinical trials' named entity 'psychoactive drugs' named entity 'Activator protein 1' named entity 'autophagy' named entity 'correlation' named entity 'drug repurposing' named entity 'host cells' named entity 'Wuhan, China' named entity 'clinical evidence' named entity 'SARS-CoV-2' named entity 'phenotypic assay' named entity 'Vero E6' named entity 'mechanisms of action' named entity 'COVID' named entity 'neurology' named entity 'psychoactive drugs'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software