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Computer-Aided Discovery and Characterization of Novel Ebola Virus Inhibitors
- 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.
- Subjects :
- 0301 basic medicine
Quantitative structure–activity relationship
Drug Evaluation, Preclinical
Quantitative Structure-Activity Relationship
medicine.disease_cause
01 natural sciences
Antiviral Agents
Cathepsin B
Article
Small Molecule Libraries
03 medical and health sciences
Chlorocebus aethiops
Drug Discovery
medicine
Animals
Humans
Cytotoxicity
Vero Cells
Virtual screening
Ebola virus
Molecular Structure
Chemistry
Drug discovery
Virus Internalization
Ebolavirus
Virology
0104 chemical sciences
010404 medicinal & biomolecular chemistry
030104 developmental biology
Vero cell
Molecular Medicine
NPC1
HeLa Cells
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....539aa8719ec5c166ff3a4e42ba80d12b