Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783367916854444032 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6214040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dabrowskaaleksandra fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT pienkotomasz fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT taciakprzemysław fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT wiktorskakatarzyna fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT chilmonczykzdzisław fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT mazurekaleksanderp fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction AT stasiulewiczadam fullerenederivativesofnucleosidehivreversetranscriptaseinhibitorsinsilicoactivityprediction |