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Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach

Background: Current combination treatments with direct-acting antiviral agents (DAAs) can cure more than 95% of hepatitis C virus (HCV) infections. However, resistance-associated substitutions (RASs) may emerge and can also be present in treatment-naïve patients. Methods, results and discussion: In...

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Autores principales: Akaberi, Dario, Bergfors, Assar, Kjellin, Midori, Kameli, Nader, Lidemalm, Louise, Kolli, Bhavya, Shafer, Robert W., Palanisamy, Navaneethan, Lennerstrand, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179053/
https://www.ncbi.nlm.nih.gov/pubmed/30319736
http://dx.doi.org/10.1080/20008686.2018.1528117
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author Akaberi, Dario
Bergfors, Assar
Kjellin, Midori
Kameli, Nader
Lidemalm, Louise
Kolli, Bhavya
Shafer, Robert W.
Palanisamy, Navaneethan
Lennerstrand, Johan
author_facet Akaberi, Dario
Bergfors, Assar
Kjellin, Midori
Kameli, Nader
Lidemalm, Louise
Kolli, Bhavya
Shafer, Robert W.
Palanisamy, Navaneethan
Lennerstrand, Johan
author_sort Akaberi, Dario
collection PubMed
description Background: Current combination treatments with direct-acting antiviral agents (DAAs) can cure more than 95% of hepatitis C virus (HCV) infections. However, resistance-associated substitutions (RASs) may emerge and can also be present in treatment-naïve patients. Methods, results and discussion: In this study, a semi-pan-genotypic population sequencing method was developed and used to assess all NS5B amino acid variants between residue positions 310 and 564. Our method successfully sequenced more than 90% of genotype (GT) 1a, 1b, 2b and 3a samples. By using the population sequencing method with a cut-off of 20%, we found the dasabuvir RASs A553V and C445F to be a baseline polymorphism of GT 2b (8 out of 8) and GT 3a (18 out of 18) sequences, respectively. In GT 1a and 1b treatment-naïve subjects (n=25), no high-fold resistance polymorphism/RASs were identified. We further predicted dasabuvir’s binding pose with the NS5B polymerase using the in silico methods to elucidate the reasons associated with the resistance of clinically relevant RASs. Dasabuvir was docked at the palm-I site and was found to form hydrogen bonds with the residues S288, I447, Y448, N291 and D318. The RAS positions 316, 414, 448, 553 and 556 were found to constitute the dasabuvir binding pocket.
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spelling pubmed-61790532018-10-12 Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach Akaberi, Dario Bergfors, Assar Kjellin, Midori Kameli, Nader Lidemalm, Louise Kolli, Bhavya Shafer, Robert W. Palanisamy, Navaneethan Lennerstrand, Johan Infect Ecol Epidemiol Research Article Background: Current combination treatments with direct-acting antiviral agents (DAAs) can cure more than 95% of hepatitis C virus (HCV) infections. However, resistance-associated substitutions (RASs) may emerge and can also be present in treatment-naïve patients. Methods, results and discussion: In this study, a semi-pan-genotypic population sequencing method was developed and used to assess all NS5B amino acid variants between residue positions 310 and 564. Our method successfully sequenced more than 90% of genotype (GT) 1a, 1b, 2b and 3a samples. By using the population sequencing method with a cut-off of 20%, we found the dasabuvir RASs A553V and C445F to be a baseline polymorphism of GT 2b (8 out of 8) and GT 3a (18 out of 18) sequences, respectively. In GT 1a and 1b treatment-naïve subjects (n=25), no high-fold resistance polymorphism/RASs were identified. We further predicted dasabuvir’s binding pose with the NS5B polymerase using the in silico methods to elucidate the reasons associated with the resistance of clinically relevant RASs. Dasabuvir was docked at the palm-I site and was found to form hydrogen bonds with the residues S288, I447, Y448, N291 and D318. The RAS positions 316, 414, 448, 553 and 556 were found to constitute the dasabuvir binding pocket. Taylor & Francis 2018-10-05 /pmc/articles/PMC6179053/ /pubmed/30319736 http://dx.doi.org/10.1080/20008686.2018.1528117 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Akaberi, Dario
Bergfors, Assar
Kjellin, Midori
Kameli, Nader
Lidemalm, Louise
Kolli, Bhavya
Shafer, Robert W.
Palanisamy, Navaneethan
Lennerstrand, Johan
Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title_full Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title_fullStr Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title_full_unstemmed Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title_short Baseline dasabuvir resistance in Hepatitis C virus from the genotypes 1, 2 and 3 and modeling of the NS5B-dasabuvir complex by the in silico approach
title_sort baseline dasabuvir resistance in hepatitis c virus from the genotypes 1, 2 and 3 and modeling of the ns5b-dasabuvir complex by the in silico approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179053/
https://www.ncbi.nlm.nih.gov/pubmed/30319736
http://dx.doi.org/10.1080/20008686.2018.1528117
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