Cargando…

The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations

The high mutation rate in retroviruses is one of the leading causes of drug resistance. In human immunodeficiency virus type-1 (HIV-1), synergistic mutations in its protease and the protease substrate – the Group-specific antigen (Gag) polyprotein – work together to confer drug resistance against pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Samsudin, Firdaus, Gan, Samuel Ken-En, Bond, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779841/
https://www.ncbi.nlm.nih.gov/pubmed/33425260
http://dx.doi.org/10.1016/j.csbj.2020.12.022
_version_ 1783631410422087680
author Samsudin, Firdaus
Gan, Samuel Ken-En
Bond, Peter J.
author_facet Samsudin, Firdaus
Gan, Samuel Ken-En
Bond, Peter J.
author_sort Samsudin, Firdaus
collection PubMed
description The high mutation rate in retroviruses is one of the leading causes of drug resistance. In human immunodeficiency virus type-1 (HIV-1), synergistic mutations in its protease and the protease substrate – the Group-specific antigen (Gag) polyprotein – work together to confer drug resistance against protease inhibitors and compensate the mutations affecting viral fitness. Some Gag mutations can restore Gag-protease binding, yet most Gag-protease correlated mutations occur outside of the Gag cleavage site. To investigate the molecular basis for this, we now report multiscale modelling approaches to investigate various sequentially cleaved Gag products in the context of clinically relevant mutations that occur outside of the cleavage sites, including simulations of the largest Gag proteolytic product in its viral membrane-bound state. We found that some mutations, such as G123E and H219Q, involve direct interaction with cleavage site residues to influence their local environment, while certain mutations in the matrix domain lead to the enrichment of lipids important for Gag targeting and assembly. Collectively, our results reveal why non-cleavage site mutations have far-reaching implications outside of Gag proteolysis, with important consequences for drugging Gag maturation intermediates and tackling protease inhibitor resistance.
format Online
Article
Text
id pubmed-7779841
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-77798412021-01-08 The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations Samsudin, Firdaus Gan, Samuel Ken-En Bond, Peter J. Comput Struct Biotechnol J Research Article The high mutation rate in retroviruses is one of the leading causes of drug resistance. In human immunodeficiency virus type-1 (HIV-1), synergistic mutations in its protease and the protease substrate – the Group-specific antigen (Gag) polyprotein – work together to confer drug resistance against protease inhibitors and compensate the mutations affecting viral fitness. Some Gag mutations can restore Gag-protease binding, yet most Gag-protease correlated mutations occur outside of the Gag cleavage site. To investigate the molecular basis for this, we now report multiscale modelling approaches to investigate various sequentially cleaved Gag products in the context of clinically relevant mutations that occur outside of the cleavage sites, including simulations of the largest Gag proteolytic product in its viral membrane-bound state. We found that some mutations, such as G123E and H219Q, involve direct interaction with cleavage site residues to influence their local environment, while certain mutations in the matrix domain lead to the enrichment of lipids important for Gag targeting and assembly. Collectively, our results reveal why non-cleavage site mutations have far-reaching implications outside of Gag proteolysis, with important consequences for drugging Gag maturation intermediates and tackling protease inhibitor resistance. Research Network of Computational and Structural Biotechnology 2020-12-23 /pmc/articles/PMC7779841/ /pubmed/33425260 http://dx.doi.org/10.1016/j.csbj.2020.12.022 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Samsudin, Firdaus
Gan, Samuel Ken-En
Bond, Peter J.
The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title_full The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title_fullStr The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title_full_unstemmed The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title_short The impact of Gag non-cleavage site mutations on HIV-1 viral fitness from integrative modelling and simulations
title_sort impact of gag non-cleavage site mutations on hiv-1 viral fitness from integrative modelling and simulations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779841/
https://www.ncbi.nlm.nih.gov/pubmed/33425260
http://dx.doi.org/10.1016/j.csbj.2020.12.022
work_keys_str_mv AT samsudinfirdaus theimpactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations
AT gansamuelkenen theimpactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations
AT bondpeterj theimpactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations
AT samsudinfirdaus impactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations
AT gansamuelkenen impactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations
AT bondpeterj impactofgagnoncleavagesitemutationsonhiv1viralfitnessfromintegrativemodellingandsimulations