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

Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2017, 22(10), 1777; https://doi.org/10.3390/molecules22101777
Received: 25 August 2017 / Revised: 16 September 2017 / Accepted: 19 September 2017 / Published: 20 October 2017
(This article belongs to the Special Issue Polypharmacology and Multitarget Drug Discovery)
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. View Full-Text
Keywords: Ebola virus; Ebola virus disease; Ebola virus disease treatment; drug repurposing; drug repositioning; computational biology; computational pharmacology; multitargeting; polypharmacology; systematic review Ebola virus; Ebola virus disease; Ebola virus disease treatment; drug repurposing; drug repositioning; computational biology; computational pharmacology; multitargeting; polypharmacology; systematic review
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MDPI and ACS Style

Schuler, J.; Hudson, M.L.; Schwartz, D.; Samudrala, R. A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment. Molecules 2017, 22, 1777.

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