Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening
The hepatitis E virus- (HEV-) helicase as a novel drug-target was evaluated. While cell culture model was used for mutational characterization of helicase, in silico protein modeling and virtual screening were employed to identify helicase inhibitors. None of the saturation mutant replicons signific...
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Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2018/5753804 |
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doaj-c43e853e4c3e4663aac5d6937777d1502020-11-24T22:26:33ZengHindawi LimitedBioMed Research International2314-61332314-61412018-01-01201810.1155/2018/57538045753804Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual ScreeningMohammad K. Parvez0Naidu Subbarao1Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi ArabiaSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, IndiaThe hepatitis E virus- (HEV-) helicase as a novel drug-target was evaluated. While cell culture model was used for mutational characterization of helicase, in silico protein modeling and virtual screening were employed to identify helicase inhibitors. None of the saturation mutant replicons significantly affected RNA replication. Notably, mutants encompassing the Walker motifs replicated as wild-type, showing indispensability of nucleotides conservation in viability compared to known criticality of amino acids. A 3D modeling of HEV-helicase and screening of a compound dataset identified ten most promising inhibitors with drug likeness, notably, JFD02650, RDR03130, and HTS11136 that interacted with Walker A residues Gly975, Gly978, Ser979, and Gly980. Our model building and virtual identification of novel helicase inhibitors warrant further studies towards developing anti-HEV drugs.http://dx.doi.org/10.1155/2018/5753804 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammad K. Parvez Naidu Subbarao |
spellingShingle |
Mohammad K. Parvez Naidu Subbarao Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening BioMed Research International |
author_facet |
Mohammad K. Parvez Naidu Subbarao |
author_sort |
Mohammad K. Parvez |
title |
Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening |
title_short |
Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening |
title_full |
Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening |
title_fullStr |
Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening |
title_full_unstemmed |
Molecular Analysis and Modeling of Hepatitis E Virus Helicase and Identification of Novel Inhibitors by Virtual Screening |
title_sort |
molecular analysis and modeling of hepatitis e virus helicase and identification of novel inhibitors by virtual screening |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2018-01-01 |
description |
The hepatitis E virus- (HEV-) helicase as a novel drug-target was evaluated. While cell culture model was used for mutational characterization of helicase, in silico protein modeling and virtual screening were employed to identify helicase inhibitors. None of the saturation mutant replicons significantly affected RNA replication. Notably, mutants encompassing the Walker motifs replicated as wild-type, showing indispensability of nucleotides conservation in viability compared to known criticality of amino acids. A 3D modeling of HEV-helicase and screening of a compound dataset identified ten most promising inhibitors with drug likeness, notably, JFD02650, RDR03130, and HTS11136 that interacted with Walker A residues Gly975, Gly978, Ser979, and Gly980. Our model building and virtual identification of novel helicase inhibitors warrant further studies towards developing anti-HEV drugs. |
url |
http://dx.doi.org/10.1155/2018/5753804 |
work_keys_str_mv |
AT mohammadkparvez molecularanalysisandmodelingofhepatitisevirushelicaseandidentificationofnovelinhibitorsbyvirtualscreening AT naidusubbarao molecularanalysisandmodelingofhepatitisevirushelicaseandidentificationofnovelinhibitorsbyvirtualscreening |
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1725753036721094656 |