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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...

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Detalles Bibliográficos
Autores principales: Schuler, James, Hudson, Matthew L., Schwartz, Diane, Samudrala, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
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.
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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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