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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American Society for Microbiology
2020
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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) |
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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 |
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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 |
_version_ |
1718376028755197952 |