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A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment
Ebola virus disease (EVD) is a deadly global public health threat, with no currently approved treatments. Traditional drug discovery and development is too expensive and inefficient to react quickly to the threat. We review published research studies that utilize computational approaches to find or...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151658/ https://www.ncbi.nlm.nih.gov/pubmed/29053626 http://dx.doi.org/10.3390/molecules22101777 |
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author | Schuler, James Hudson, Matthew L. Schwartz, Diane Samudrala, Ram |
author_facet | Schuler, James Hudson, Matthew L. Schwartz, Diane Samudrala, Ram |
author_sort | Schuler, James |
collection | PubMed |
description | Ebola virus disease (EVD) is a deadly global public health threat, with no currently approved treatments. Traditional drug discovery and development is too expensive and inefficient to react quickly to the threat. We review published research studies that utilize computational approaches to find or develop drugs that target the Ebola virus and synthesize its results. A variety of hypothesized and/or novel treatments are reported to have potential anti-Ebola activity. Approaches that utilize multi-targeting/polypharmacology have the most promise in treating EVD. |
format | Online Article Text |
id | pubmed-6151658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61516582018-11-13 A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment Schuler, James Hudson, Matthew L. Schwartz, Diane Samudrala, Ram Molecules Review Ebola virus disease (EVD) is a deadly global public health threat, with no currently approved treatments. Traditional drug discovery and development is too expensive and inefficient to react quickly to the threat. We review published research studies that utilize computational approaches to find or develop drugs that target the Ebola virus and synthesize its results. A variety of hypothesized and/or novel treatments are reported to have potential anti-Ebola activity. Approaches that utilize multi-targeting/polypharmacology have the most promise in treating EVD. MDPI 2017-10-20 /pmc/articles/PMC6151658/ /pubmed/29053626 http://dx.doi.org/10.3390/molecules22101777 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Schuler, James Hudson, Matthew L. Schwartz, Diane Samudrala, Ram A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title_full | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title_fullStr | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title_full_unstemmed | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title_short | A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment |
title_sort | systematic review of computational drug discovery, development, and repurposing for ebola virus disease treatment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151658/ https://www.ncbi.nlm.nih.gov/pubmed/29053626 http://dx.doi.org/10.3390/molecules22101777 |
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