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A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses
RNA viruses are responsible for many zoonotic diseases that post great challenges for public health. Effective therapeutics against these viral infections remain limited. Here, we deployed a computational framework for host-based drug repositioning to predict potential antiviral drugs from 2,352 app...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900436/ https://www.ncbi.nlm.nih.gov/pubmed/33665567 http://dx.doi.org/10.1016/j.isci.2021.102148 |
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author | Li, Zexu Yao, Yingjia Cheng, Xiaolong Chen, Qing Zhao, Wenchang Ma, Shixin Li, Zihan Zhou, Hu Li, Wei Fei, Teng |
author_facet | Li, Zexu Yao, Yingjia Cheng, Xiaolong Chen, Qing Zhao, Wenchang Ma, Shixin Li, Zihan Zhou, Hu Li, Wei Fei, Teng |
author_sort | Li, Zexu |
collection | PubMed |
description | RNA viruses are responsible for many zoonotic diseases that post great challenges for public health. Effective therapeutics against these viral infections remain limited. Here, we deployed a computational framework for host-based drug repositioning to predict potential antiviral drugs from 2,352 approved drugs and 1,062 natural compounds embedded in herbs of traditional Chinese medicine. By systematically interrogating public genetic screening data, we comprehensively cataloged host dependency genes (HDGs) that are indispensable for successful viral infection corresponding to 10 families and 29 species of RNA viruses. We then utilized these HDGs as potential drug targets and interrogated extensive drug-target interactions through database retrieval, literature mining, and de novo prediction using artificial intelligence-based algorithms. Repurposed drugs or natural compounds were proposed against many viral pathogens such as coronaviruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), flaviviruses, and influenza viruses. This study helps to prioritize promising drug candidates for in-depth evaluation against these virus-related diseases. |
format | Online Article Text |
id | pubmed-7900436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79004362021-03-03 A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses Li, Zexu Yao, Yingjia Cheng, Xiaolong Chen, Qing Zhao, Wenchang Ma, Shixin Li, Zihan Zhou, Hu Li, Wei Fei, Teng iScience Article RNA viruses are responsible for many zoonotic diseases that post great challenges for public health. Effective therapeutics against these viral infections remain limited. Here, we deployed a computational framework for host-based drug repositioning to predict potential antiviral drugs from 2,352 approved drugs and 1,062 natural compounds embedded in herbs of traditional Chinese medicine. By systematically interrogating public genetic screening data, we comprehensively cataloged host dependency genes (HDGs) that are indispensable for successful viral infection corresponding to 10 families and 29 species of RNA viruses. We then utilized these HDGs as potential drug targets and interrogated extensive drug-target interactions through database retrieval, literature mining, and de novo prediction using artificial intelligence-based algorithms. Repurposed drugs or natural compounds were proposed against many viral pathogens such as coronaviruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), flaviviruses, and influenza viruses. This study helps to prioritize promising drug candidates for in-depth evaluation against these virus-related diseases. Elsevier 2021-02-05 /pmc/articles/PMC7900436/ /pubmed/33665567 http://dx.doi.org/10.1016/j.isci.2021.102148 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Li, Zexu Yao, Yingjia Cheng, Xiaolong Chen, Qing Zhao, Wenchang Ma, Shixin Li, Zihan Zhou, Hu Li, Wei Fei, Teng A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title | A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title_full | A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title_fullStr | A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title_full_unstemmed | A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title_short | A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses |
title_sort | computational framework of host-based drug repositioning for broad-spectrum antivirals against rna viruses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900436/ https://www.ncbi.nlm.nih.gov/pubmed/33665567 http://dx.doi.org/10.1016/j.isci.2021.102148 |
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