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               <dc:title>Modeling of the HIV-1 life cycle in productively infected cells to predict novel therapeutic targets</dc:title>
               <dc:creator>Shcherbatova, Olga</dc:creator>
               <dc:creator>Grebennikov, Dmitry</dc:creator>
               <dc:creator>Sazonov, Igor</dc:creator>
               <dc:creator>Meyerhans, Andreas</dc:creator>
               <dc:creator>Bocharov, Gennady A.</dc:creator>
               <dc:subject>HIV-1</dc:subject>
               <dc:subject>Antiviral targets</dc:subject>
               <dc:subject>Intracellular replication</dc:subject>
               <dc:subject>Mathematical model</dc:subject>
               <dc:subject>Sensitivity analysis</dc:subject>
               <dc:description>There are many studies that model the within-host population dynamics of Human Immunodeficiency Virus Type 1 (HIV-1) infection. However, the within-infected-cell replication of HIV-1 remains to be not comprehensively addressed. There exist rather few quantitative models describing the regulation of the HIV-1 life cycle at the intracellular level. In treatment of HIV-1 infection, there remain issues related to side-effects and drug-resistance that require further search &amp;quot;...for new and better drugs, ideally targeting multiple independent steps in the HIV-1 replication cycle&amp;quot; (as highlighted recently by Teldury et al., The Future of HIV-1 Therapeutics, 2015). High-resolution mathematical models of HIV-1 growth in infected cells provide an additional analytical tool in identifying novel drug targets. We formulate a high-dimensional model describing the biochemical reactions underlying the replication of HIV-1 in target cells. The model considers a nonlinear regulation of the transcription of HIV-1 mediated by Tat and the Rev-dependent transport of fully spliced and singly spliced transcripts from the nucleus to the cytoplasm. The model is calibrated using available information on the kinetics of various stages of HIV-1 replication. The sensitivity analysis of the model is performed to rank the biochemical processes of HIV-1 replication with respect to their impact on the net production of virions by one actively infected cell. The ranking of the sensitivity factors provides a quantitative basis for identifying novel targets for antiviral therapy. Our analysis suggests that HIV-1 assembly depending on Gag and Tat-Rev regulation of transcription and mRNA distribution present two most critical stages in HIV-1 replication that can be targeted to effectively control virus production. These processes are not covered by current antiretroviral treatments.</dc:description>
               <dc:date>2020-05-06T07:10:40Z</dc:date>
               <dc:date>2020-05-06T07:10:40Z</dc:date>
               <dc:date>2020</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:relation>Pathogens. 2020; 9(4). pii: E255</dc:relation>
               <dc:rights>© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>MDPI</dc:publisher>
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