A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment
Authors
James Schuler
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA; [email protected] (J.S.); [email protected] (M.L.H.); [email protected] (D.S.)
Matthew Hudson
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA; [email protected] (J.S.); [email protected] (M.L.H.); [email protected] (D.S.)
Diane Schwartz
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA; [email protected] (J.S.); [email protected] (M.L.H.); [email protected] (D.S.)
Ram Samudrala
Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA; [email protected] (J.S.); [email protected] (M.L.H.); [email protected] (D.S.)
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, drug repurposing, drug repositioning, computational biology, computational pharmacology, multitargeting, polypharmacology, systematic review
Click on "Archives" to access the full archive of scientific preprints. You may use the categories and the search functionality to find select preprints you're interested in.
