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In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions

The contest of cancer couldn’t be completed without novel drug with novel modes of action, improved efficacy and acceptable pharmacokinetic properties. Transcription factors are attractive targets to develop anti-cancerous drugs. 6-Gingerol, Anethol analogues, Capsaicinoids, Curcumin, Dibenzoylmetha...

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Autores principales: Teimouri, Mohammad, Junaid, Muhammad, Saleem, Shoaib, Khan, Abbas, Ali, Arif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311079/
https://www.ncbi.nlm.nih.gov/pubmed/28246465
http://dx.doi.org/10.6026/97320630012354
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author Teimouri, Mohammad
Junaid, Muhammad
Saleem, Shoaib
Khan, Abbas
Ali, Arif
author_facet Teimouri, Mohammad
Junaid, Muhammad
Saleem, Shoaib
Khan, Abbas
Ali, Arif
author_sort Teimouri, Mohammad
collection PubMed
description The contest of cancer couldn’t be completed without novel drug with novel modes of action, improved efficacy and acceptable pharmacokinetic properties. Transcription factors are attractive targets to develop anti-cancerous drugs. 6-Gingerol, Anethol analogues, Capsaicinoids, Curcumin, Dibenzoylmethane, Diosgenin, Eugenol, Gambogic acid, Thymoquinone, Ursolic acid, Xanthohumol, Zerumbone are the promising nutraceuticals that help in the prevention of cancer. These nutraceuticals showed promising activity in invitro tests. In this study In-silico tools were applied to confirm the activity of these nutraceuticals against the transcription factors including Nuclear Factor-Kappa B (NF-κB), AP-1, NRF2, PPAR-γ, β-catenin/Wnt and Sonic Hedgehog. This studied followed molecular docking based approach to verify the in-vitro activities of the said nutraceuticals against the cancer. Molecular Docking based approached provide a path towards the identification of novel ligands against these transcription factors. Based on the interaction of Cardamoninand capsaicin it was found to have an influencing role against the transcription factor like NF-κB andPPAR-γ. The interaction of Cardamoninwith NF- κBand capsaicinwith PPAR-γ provide a way toward structure-based virtual screening to identify novel ligands against the targets which could be very help full in successful chemotherapy of cancer. This study delivers structural features of nutraceuticals and its interactions against different transcription factors and gives a theoretical entry to use these compounds as a potential inhibitor against the transcription factors involved in cancer.
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spelling pubmed-53110792017-02-28 In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions Teimouri, Mohammad Junaid, Muhammad Saleem, Shoaib Khan, Abbas Ali, Arif Bioinformation Hypothesis The contest of cancer couldn’t be completed without novel drug with novel modes of action, improved efficacy and acceptable pharmacokinetic properties. Transcription factors are attractive targets to develop anti-cancerous drugs. 6-Gingerol, Anethol analogues, Capsaicinoids, Curcumin, Dibenzoylmethane, Diosgenin, Eugenol, Gambogic acid, Thymoquinone, Ursolic acid, Xanthohumol, Zerumbone are the promising nutraceuticals that help in the prevention of cancer. These nutraceuticals showed promising activity in invitro tests. In this study In-silico tools were applied to confirm the activity of these nutraceuticals against the transcription factors including Nuclear Factor-Kappa B (NF-κB), AP-1, NRF2, PPAR-γ, β-catenin/Wnt and Sonic Hedgehog. This studied followed molecular docking based approach to verify the in-vitro activities of the said nutraceuticals against the cancer. Molecular Docking based approached provide a path towards the identification of novel ligands against these transcription factors. Based on the interaction of Cardamoninand capsaicin it was found to have an influencing role against the transcription factor like NF-κB andPPAR-γ. The interaction of Cardamoninwith NF- κBand capsaicinwith PPAR-γ provide a way toward structure-based virtual screening to identify novel ligands against the targets which could be very help full in successful chemotherapy of cancer. This study delivers structural features of nutraceuticals and its interactions against different transcription factors and gives a theoretical entry to use these compounds as a potential inhibitor against the transcription factors involved in cancer. Biomedical Informatics 2016-10-17 /pmc/articles/PMC5311079/ /pubmed/28246465 http://dx.doi.org/10.6026/97320630012354 Text en © 2016 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Teimouri, Mohammad
Junaid, Muhammad
Saleem, Shoaib
Khan, Abbas
Ali, Arif
In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title_full In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title_fullStr In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title_full_unstemmed In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title_short In-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
title_sort in-vitro analysis of selective nutraceuticals binding to human transcription factors through computer aided molecular docking predictions
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311079/
https://www.ncbi.nlm.nih.gov/pubmed/28246465
http://dx.doi.org/10.6026/97320630012354
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