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Molecules. 2017 Oct 20;22(10). pii: E1777. doi: 10.3390/molecules22101777.

A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment.

Author information

1
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. jcschule@buffalo.edu.
2
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. mlhudson@buffalo.edu.
3
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. digs@buffalo.edu.
4
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. ram@compbio.org.

Abstract

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.

KEYWORDS:

Ebola virus; Ebola virus disease; Ebola virus disease treatment; computational biology; computational pharmacology; drug repositioning; drug repurposing; multitargeting; polypharmacology; systematic review

PMID:
29053626
DOI:
10.3390/molecules22101777
[Indexed for MEDLINE]
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Conflict of interest statement

The senior author on this work is also the senior author on one of the twenty three papers reviewed in this manuscript. The funding sponsors had no role in the design of the study; in the collection, analysis, and interpretation of the data; in the development of the manuscript; and in the decision to publish the results.

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