Title: Prediction of repurposed drugs for treating lung injury in COVID-19

Type Dataset Bing He, Lana Garmire (2020): Prediction of repurposed drugs for treating lung injury in COVID-19. Zenodo. Dataset. https://zenodo.org/record/3823277

Authors: Bing He (University of Michigan) ; Lana Garmire (University of Michigan) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

These are output files of shared R scripts used in prediction of repurposed drugs for treating lung injury in COVID-19.

R scripts are available here: https://doi.org/10.5281/zenodo.3822923

Description of files:

HCC515_6_data_for_drug.csv #Differential expression of genes in HCC515 cell at 6 h after treatment of ACE2 inhibitor

HCC515_24_data_for_drug.csv #Differential expression of genes in HCC515 cell at 24 h after treatment of ACE2 inhibitor

COVID19-Lung_data_for_drug.csv #Differential expression of genes in lung tissues with COVID-19

HCC515_6_drug.csv #Drugs for HCC515 cell at 6 h after transfection of ACE2 inhibitor

HCC515_24_drug.csv #Drugs for HCC515 cell at 24 h after transfection of ACE2 inhibitor

COVID19-Lung_drug.csv #Drugs for lung tissuse from COVID-19 patients

COL-3_single_treatment_response_data.csv #Differential expression of genes in HCC515 cell at 24h after treatment of COL-3

CGP-60474_single_treatment_response_data.csv #Differential expression of genes in HCC515 cell at 24h after treatment of CGP-60474

More information

• DOI: 10.5281/zenodo.3823277

Subjects

• COVID-19, Drug, Lung injury

Dates

• Publication date: 2020
• Issued: May 12, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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