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Computer-Aided Discovery and Characterization of Novel Ebola Virus Inhibitors

Authors :
Ethan G. Fisher
Xiangguo Qiu
Miao Xu
Wei Zheng
Adolfo García-Sastre
Eugene N. Muratov
Wenjun Zhu
Gregory J. Tawa
Stephen J. Capuzzi
Shihua He
Paul Shinn
Wei Sun
Hao Li
Carles Martínez-Romero
Alexander Tropsha
Publication Year :
2018

Abstract

The Ebola virus (EBOV) causes severe human infection that lacks effective treatment. A recent screen identified a series of compounds that block EBOV-like particle entry into human cells. Using data from this screen, Quantitative Structure-Activity Relationship (QSAR) models were built and employed for virtual screening of a ~17 million compound library. Experimental testing of 102 hits yielded 14 compounds with IC(50) values under 10 μM, including several sub-micromolar inhibitors, and more than 10-fold selectivity against host cytotoxicity. These confirmed hits include FDA-approved drugs and clinical candidates with non-antiviral indications, as well as compounds with novel scaffolds and no previously known bioactivity. Five selected hits inhibited BSL-4 live-EBOV infection in a dose-dependent manner, including vindesine (0.34 μM). Additional studies of these novel anti-EBOV compounds revealed their mechanisms of action, including the inhibition of NPC1 protein, cathepsin B/L, and lysosomal function. Compounds identified in this study are among the most potent and well-characterized anti-EBOV inhibitors reported to date.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....539aa8719ec5c166ff3a4e42ba80d12b