Article

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

2023-06-05

Abstract excerpt

The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a severe threat to the global public health and economy, however, effective drugs to treat COVID-19 are still lacking. Here, we employ a deep learning-based drug repositioning strategy to systematically screen potential anti-SARS-CoV-2 drug candidates that target the cell entr...

Topics

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

Identifiers and source

Literature Corpus work: 7186d284-1000-5969-afde-6ae9ce0a0e8c
DOI: 10.1101/2023.06.03.543589

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanismDOI 10.1101/2023.06.03.543589Read

Combined Deep Learning and Molecular Docking Simulations Approach Identifies Potentially Effective FDA Approved Drugs for Repurposing Against SARS-CoV-2Semantic proximity Read

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

In silico screening of known small molecules to bind ACE2 specific RBD on Spike glycoprotein of SARS-CoV-2 for repurposing against COVID-19Semantic proximity Read

Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCovSemantic proximity Read

Virtual screening FDA approved drugs against multiple targets of SARS‐CoV‐2Semantic proximity Read

Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT studySemantic proximity Read

Computational drug re-purposing targeting the spike glycoprotein of SARS-CoV-2 as an effective strategy to neutralize COVID-19Semantic proximity Read

De Novo Design and Bioactivity Prediction of SARS-CoV-2 Main Protease Inhibitors Using ULMFitSemantic proximity Read

Identification of targets for drug repurposing to treat COVID-19 using a Deep Learning Neural NetworkSemantic proximity Read

Entrectinib - a SARS-CoV-2 inhibitor in Human Lung Tissue (HLT) cellsSemantic proximity Read

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

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological ValidationSemantic proximity Read