Combating Ebola with Repurposed Therapeutics Using the CANDO Platform

Ebola virus disease (EVD) is extremely virulent with an estimated mortality rate of up to 90%. However, the state-of-the-art treatment for EVD is limited to quarantine and supportive care. The 2014 Ebola epidemic in West Africa, the largest in history, is believed to have caused more than 11,000 fat...

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Main Authors: Gaurav Chopra, Sashank Kaushik, Peter L. Elkin, Ram Samudrala
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Molecules
Subjects:
Online Access:http://www.mdpi.com/1420-3049/21/12/1537
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author Gaurav Chopra
Sashank Kaushik
Peter L. Elkin
Ram Samudrala
author_facet Gaurav Chopra
Sashank Kaushik
Peter L. Elkin
Ram Samudrala
author_sort Gaurav Chopra
collection DOAJ
description Ebola virus disease (EVD) is extremely virulent with an estimated mortality rate of up to 90%. However, the state-of-the-art treatment for EVD is limited to quarantine and supportive care. The 2014 Ebola epidemic in West Africa, the largest in history, is believed to have caused more than 11,000 fatalities. The countries worst affected are also among the poorest in the world. Given the complexities, time, and resources required for a novel drug development, finding efficient drug discovery pathways is going to be crucial in the fight against future outbreaks. We have developed a Computational Analysis of Novel Drug Opportunities (CANDO) platform based on the hypothesis that drugs function by interacting with multiple protein targets to create a molecular interaction signature that can be exploited for rapid therapeutic repurposing and discovery. We used the CANDO platform to identify and rank FDA-approved drug candidates that bind and inhibit all proteins encoded by the genomes of five different Ebola virus strains. Top ranking drug candidates for EVD treatment generated by CANDO were compared to in vitro screening studies against Ebola virus-like particles (VLPs) by Kouznetsova et al. and genetically engineered Ebola virus and cell viability studies by Johansen et al. to identify drug overlaps between the in virtuale and in vitro studies as putative treatments for future EVD outbreaks. Our results indicate that integrating computational docking predictions on a proteomic scale with results from in vitro screening studies may be used to select and prioritize compounds for further in vivo and clinical testing. This approach will significantly reduce the lead time, risk, cost, and resources required to determine efficacious therapies against future EVD outbreaks.
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spelling doaj.art-3bfb3cc8f68b4989a456ec333d7031422022-12-22T01:13:47ZengMDPI AGMolecules1420-30492016-11-012112153710.3390/molecules21121537molecules21121537Combating Ebola with Repurposed Therapeutics Using the CANDO PlatformGaurav Chopra0Sashank Kaushik1Peter L. Elkin2Ram Samudrala3Department of Chemistry; Purdue Institute for Drug Discovery; Purdue Institute for Inflammation, Immunology, and Infectious Disease; Purdue Institute for Integrative Neuroscience; Purdue Center for Cancer Research, Purdue University, West Lafayette, IN 47907, USADepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USADepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USADepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USAEbola virus disease (EVD) is extremely virulent with an estimated mortality rate of up to 90%. However, the state-of-the-art treatment for EVD is limited to quarantine and supportive care. The 2014 Ebola epidemic in West Africa, the largest in history, is believed to have caused more than 11,000 fatalities. The countries worst affected are also among the poorest in the world. Given the complexities, time, and resources required for a novel drug development, finding efficient drug discovery pathways is going to be crucial in the fight against future outbreaks. We have developed a Computational Analysis of Novel Drug Opportunities (CANDO) platform based on the hypothesis that drugs function by interacting with multiple protein targets to create a molecular interaction signature that can be exploited for rapid therapeutic repurposing and discovery. We used the CANDO platform to identify and rank FDA-approved drug candidates that bind and inhibit all proteins encoded by the genomes of five different Ebola virus strains. Top ranking drug candidates for EVD treatment generated by CANDO were compared to in vitro screening studies against Ebola virus-like particles (VLPs) by Kouznetsova et al. and genetically engineered Ebola virus and cell viability studies by Johansen et al. to identify drug overlaps between the in virtuale and in vitro studies as putative treatments for future EVD outbreaks. Our results indicate that integrating computational docking predictions on a proteomic scale with results from in vitro screening studies may be used to select and prioritize compounds for further in vivo and clinical testing. This approach will significantly reduce the lead time, risk, cost, and resources required to determine efficacious therapies against future EVD outbreaks.http://www.mdpi.com/1420-3049/21/12/1537drug repurposing and discoverymultitarget dockingcompound–proteome interactioncandock
spellingShingle Gaurav Chopra
Sashank Kaushik
Peter L. Elkin
Ram Samudrala
Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
Molecules
drug repurposing and discovery
multitarget docking
compound–proteome interaction
candock
title Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
title_full Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
title_fullStr Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
title_full_unstemmed Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
title_short Combating Ebola with Repurposed Therapeutics Using the CANDO Platform
title_sort combating ebola with repurposed therapeutics using the cando platform
topic drug repurposing and discovery
multitarget docking
compound–proteome interaction
candock
url http://www.mdpi.com/1420-3049/21/12/1537
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