Article

Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2

2020-04-23

Abstract excerpt

To identify potential therapeutic stop-gaps for SARS-CoV-2, we evaluated a library of 1,670 approved and reference compounds in an unbiased, cellular image-based screen for their ability to suppress the broad impacts of the SARS-CoV-2 virus on phenomic profiles of human renal cortical epithelial cells using deep learning. In our assay, remdesivir is the only antiviral tested with strong efficacy, neither chloroqui...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e6161d18-fe1d-5c25-aaab-bbea4239b2bf
DOI: 10.1101/2020.04.21.054387

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2DOI 10.1101/2020.04.21.054387Read

Discovery of re-purposed drugs that slow SARS-CoV-2 replication in human cellsSemantic proximity Read

A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanismSemantic proximity Read

Rapid Identification of Druggable Targets and the Power of the Phenotype SIMulator for Effective Drug Repurposing in COVID-19Semantic proximity Read

Genome-wide Screening Identifies Unique Host-Directed Drugs and Pro-viral Signalling Pathways for SARS-CoV-2Semantic proximity Read

A systems‐level study reveals host‐targeted repurposable drugs against SARS‐CoV‐2 infectionSemantic proximity Read

Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing DataSemantic proximity Read

Genome-wide Screening Identifies Unique Host-Directed Drugs and Pro-viral Signalling Pathways for SARS-CoV-2Semantic proximity Read

Drug repurposing platform for deciphering the druggable SARS-CoV-2 interactomeSemantic proximity Read

Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritizationSemantic proximity Read

Identification of druggable host targets needed for SARS-CoV-2 infection by combined pharmacological evaluation and cellular network directed prioritization both in vitro and in vivoSemantic proximity Read

Modeling COVID-19 disease biology to identify drug treatment candidatesSemantic proximity Read

Tripartite combination of potential pandemic mitigation agents: Vitamin D, Quercetin, and Estradiol manifest properties of candidate medicinal agents for mitigation of the severity of pandemic COVID-19 defined by genomics-guided tracing of SARS-CoV-2 targets in human cells.Semantic proximity Read