Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data

ABSTRACT As of today (7 April 2020), more than 81,000 people around the world have died from the coronavirus disease 19 (COVID-19) pandemic. There is no approved drug or vaccine for COVID-19, although more than 10 clinical trials have been launched to test potential drugs. In an urgent response to t...

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Autor principal: Fadhl M. Alakwaa
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Publicado: American Society for Microbiology 2020
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spelling oai:doaj.org-article:5fa5320a8d244bbd8f6138656f4e98812021-12-02T19:46:19ZRepurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data10.1128/mSystems.00297-202379-5077https://doaj.org/article/5fa5320a8d244bbd8f6138656f4e98812020-04-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00297-20https://doaj.org/toc/2379-5077ABSTRACT As of today (7 April 2020), more than 81,000 people around the world have died from the coronavirus disease 19 (COVID-19) pandemic. There is no approved drug or vaccine for COVID-19, although more than 10 clinical trials have been launched to test potential drugs. In an urgent response to this pandemic, I developed a bioinformatics pipeline to identify compounds and drug candidates to potentially treat COVID-19. This pipeline is based on publicly available single-cell RNA sequencing (scRNA-seq) data and the drug perturbation database “Library of Integrated Network-Based Cellular Signatures” (LINCS). I developed a ranking score system that prioritizes these drugs or small molecules. The four drugs with the highest total score are didanosine, benzyl-quinazolin-4-yl-amine, camptothecin, and RO-90-7501. In conclusion, I have demonstrated the utility of bioinformatics for identifying drugs than can be repurposed for potentially treating COVID-19 patients.Fadhl M. AlakwaaAmerican Society for MicrobiologyarticleCOVID-19drugrepurposingMicrobiologyQR1-502ENmSystems, Vol 5, Iss 2 (2020)
institution DOAJ
collection DOAJ
language EN
topic COVID-19
drug
repurposing
Microbiology
QR1-502
spellingShingle COVID-19
drug
repurposing
Microbiology
QR1-502
Fadhl M. Alakwaa
Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
description ABSTRACT As of today (7 April 2020), more than 81,000 people around the world have died from the coronavirus disease 19 (COVID-19) pandemic. There is no approved drug or vaccine for COVID-19, although more than 10 clinical trials have been launched to test potential drugs. In an urgent response to this pandemic, I developed a bioinformatics pipeline to identify compounds and drug candidates to potentially treat COVID-19. This pipeline is based on publicly available single-cell RNA sequencing (scRNA-seq) data and the drug perturbation database “Library of Integrated Network-Based Cellular Signatures” (LINCS). I developed a ranking score system that prioritizes these drugs or small molecules. The four drugs with the highest total score are didanosine, benzyl-quinazolin-4-yl-amine, camptothecin, and RO-90-7501. In conclusion, I have demonstrated the utility of bioinformatics for identifying drugs than can be repurposed for potentially treating COVID-19 patients.
format article
author Fadhl M. Alakwaa
author_facet Fadhl M. Alakwaa
author_sort Fadhl M. Alakwaa
title Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
title_short Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
title_full Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
title_fullStr Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
title_full_unstemmed Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data
title_sort repurposing didanosine as a potential treatment for covid-19 using single-cell rna sequencing data
publisher American Society for Microbiology
publishDate 2020
url https://doaj.org/article/5fa5320a8d244bbd8f6138656f4e9881
work_keys_str_mv AT fadhlmalakwaa repurposingdidanosineasapotentialtreatmentforcovid19usingsinglecellrnasequencingdata
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