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Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction

Here we present new derivatives of nucleoside reverse transcriptase inhibitors with a C(20) fullerene. The computational chemistry methods used in this study evaluate affinity of designed compounds towards the HIV-1 reverse transcriptase (RT) binding site and select the most active ones. The best of...

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Autores principales: Dąbrowska, Aleksandra, Pieńko, Tomasz, Taciak, Przemysław, Wiktorska, Katarzyna, Chilmonczyk, Zdzisław, Mazurek, Aleksander P., Stasiulewicz, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214040/
https://www.ncbi.nlm.nih.gov/pubmed/30347655
http://dx.doi.org/10.3390/ijms19103231
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author Dąbrowska, Aleksandra
Pieńko, Tomasz
Taciak, Przemysław
Wiktorska, Katarzyna
Chilmonczyk, Zdzisław
Mazurek, Aleksander P.
Stasiulewicz, Adam
author_facet Dąbrowska, Aleksandra
Pieńko, Tomasz
Taciak, Przemysław
Wiktorska, Katarzyna
Chilmonczyk, Zdzisław
Mazurek, Aleksander P.
Stasiulewicz, Adam
author_sort Dąbrowska, Aleksandra
collection PubMed
description Here we present new derivatives of nucleoside reverse transcriptase inhibitors with a C(20) fullerene. The computational chemistry methods used in this study evaluate affinity of designed compounds towards the HIV-1 reverse transcriptase (RT) binding site and select the most active ones. The best of the designed compounds have superior or similar affinity to RT active site in comparison to most active test compounds, including drugs used in anti-HIV therapy.
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spelling pubmed-62140402018-11-14 Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction Dąbrowska, Aleksandra Pieńko, Tomasz Taciak, Przemysław Wiktorska, Katarzyna Chilmonczyk, Zdzisław Mazurek, Aleksander P. Stasiulewicz, Adam Int J Mol Sci Article Here we present new derivatives of nucleoside reverse transcriptase inhibitors with a C(20) fullerene. The computational chemistry methods used in this study evaluate affinity of designed compounds towards the HIV-1 reverse transcriptase (RT) binding site and select the most active ones. The best of the designed compounds have superior or similar affinity to RT active site in comparison to most active test compounds, including drugs used in anti-HIV therapy. MDPI 2018-10-19 /pmc/articles/PMC6214040/ /pubmed/30347655 http://dx.doi.org/10.3390/ijms19103231 Text en © 2018 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/).
spellingShingle Article
Dąbrowska, Aleksandra
Pieńko, Tomasz
Taciak, Przemysław
Wiktorska, Katarzyna
Chilmonczyk, Zdzisław
Mazurek, Aleksander P.
Stasiulewicz, Adam
Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title_full Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title_fullStr Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title_full_unstemmed Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title_short Fullerene Derivatives of Nucleoside HIV Reverse Transcriptase Inhibitors—In Silico Activity Prediction
title_sort fullerene derivatives of nucleoside hiv reverse transcriptase inhibitors—in silico activity prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214040/
https://www.ncbi.nlm.nih.gov/pubmed/30347655
http://dx.doi.org/10.3390/ijms19103231
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