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Network analytics for drug repurposing in COVID-19
To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein–protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690228/ https://www.ncbi.nlm.nih.gov/pubmed/34864885 http://dx.doi.org/10.1093/bib/bbab490 |
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author | Siminea, Nicoleta Popescu, Victor Sanchez Martin, Jose Angel Florea, Daniela Gavril, Georgiana Gheorghe, Ana-Maria Iţcuş, Corina Kanhaiya, Krishna Pacioglu, Octavian Popa, Laura Ioana Trandafir, Romica Tusa, Maria Iris Sidoroff, Manuela Păun, Mihaela Czeizler, Eugen Păun, Andrei Petre, Ion |
author_facet | Siminea, Nicoleta Popescu, Victor Sanchez Martin, Jose Angel Florea, Daniela Gavril, Georgiana Gheorghe, Ana-Maria Iţcuş, Corina Kanhaiya, Krishna Pacioglu, Octavian Popa, Laura Ioana Trandafir, Romica Tusa, Maria Iris Sidoroff, Manuela Păun, Mihaela Czeizler, Eugen Păun, Andrei Petre, Ion |
author_sort | Siminea, Nicoleta |
collection | PubMed |
description | To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein–protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins and directed PPI data. We analyzed the networks to identify drug targets and combinations thereof that offer efficient control over the host factors. We validated our findings against clinical studies data and bioinformatics studies. Our method offers a new insight into the molecular details of the disease and into potentially new therapy targets for it. Our approach for drug repurposing is significant beyond COVID-19 and may be applied also to other diseases. |
format | Online Article Text |
id | pubmed-8690228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86902282022-01-05 Network analytics for drug repurposing in COVID-19 Siminea, Nicoleta Popescu, Victor Sanchez Martin, Jose Angel Florea, Daniela Gavril, Georgiana Gheorghe, Ana-Maria Iţcuş, Corina Kanhaiya, Krishna Pacioglu, Octavian Popa, Laura Ioana Trandafir, Romica Tusa, Maria Iris Sidoroff, Manuela Păun, Mihaela Czeizler, Eugen Păun, Andrei Petre, Ion Brief Bioinform Problem Solving Protocol To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein–protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins and directed PPI data. We analyzed the networks to identify drug targets and combinations thereof that offer efficient control over the host factors. We validated our findings against clinical studies data and bioinformatics studies. Our method offers a new insight into the molecular details of the disease and into potentially new therapy targets for it. Our approach for drug repurposing is significant beyond COVID-19 and may be applied also to other diseases. Oxford University Press 2021-12-07 /pmc/articles/PMC8690228/ /pubmed/34864885 http://dx.doi.org/10.1093/bib/bbab490 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Problem Solving Protocol Siminea, Nicoleta Popescu, Victor Sanchez Martin, Jose Angel Florea, Daniela Gavril, Georgiana Gheorghe, Ana-Maria Iţcuş, Corina Kanhaiya, Krishna Pacioglu, Octavian Popa, Laura Ioana Trandafir, Romica Tusa, Maria Iris Sidoroff, Manuela Păun, Mihaela Czeizler, Eugen Păun, Andrei Petre, Ion Network analytics for drug repurposing in COVID-19 |
title | Network analytics for drug repurposing in COVID-19 |
title_full | Network analytics for drug repurposing in COVID-19 |
title_fullStr | Network analytics for drug repurposing in COVID-19 |
title_full_unstemmed | Network analytics for drug repurposing in COVID-19 |
title_short | Network analytics for drug repurposing in COVID-19 |
title_sort | network analytics for drug repurposing in covid-19 |
topic | Problem Solving Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690228/ https://www.ncbi.nlm.nih.gov/pubmed/34864885 http://dx.doi.org/10.1093/bib/bbab490 |
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