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

Molecules. 2017 Oct 20;22(10):1777. doi: 10.3390/molecules22101777.

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.

Publication types

  • Review
  • Systematic Review

MeSH terms

  • Antiviral Agents / pharmacology*
  • Computational Biology / methods
  • Disease Outbreaks
  • Drug Repositioning / methods*
  • Hemorrhagic Fever, Ebola / drug therapy*
  • Humans
  • Machine Learning

Substances

  • Antiviral Agents