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Structural comparison of diverse HIV-1 subtypes using molecular modelling and docking analyses of integrase inhibitors

Please always quote using this URN: urn:nbn:de:bvb:20-opus-211170
  • The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integraseThe process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-naïve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.show moreshow less

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Metadaten
Author: Darren Isaacs, Sello Given Mikasi, Adetayo Emmanuel Obasa, George Mondinde Ikomey, Sergey Shityakov, Ruben Cloete, Graeme Brendon Jacobs
URN:urn:nbn:de:bvb:20-opus-211170
Document Type:Journal article
Faculties:Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Language:English
Parent Title (English):Viruses
ISSN:1999-4915
Year of Completion:2020
Volume:12
Issue:9
Article Number:936
Source:Viruses (2020) 12:9, 936. https://doi.org/10.3390/v12090936
DOI:https://doi.org/10.3390/v12090936
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:HIV-1; diversity; integrase; molecular docking; molecular modelling; naturally occurring polymorphisms
Release Date:2023/05/24
Date of first Publication:2020/08/26
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International